Data Scientist, FinEng

FinTech, Revenue Optimization, Monetization

Data Science
Experimentation
Causal Inference
SQL
Python
MLOps
Data Modeling
Statistical Analysis

The role explicitly focuses on leading a data science team to optimize revenue, pricing, and subscription systems using experimentation and causal inference. The core responsibilities are deeply rooted in data science and its application to financial engineering.

About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth. About the Role As Manager…


Data Scientist, Integrity Measurement

Machine Learning
Data Science
LLM
Python
R
SQL
Data Analysis
Prevalence Estimation
Sampling Methods
AI Safety
NLP

The role explicitly focuses on developing and implementing AI-first methods for measurement, prevalence estimation, and optimizing LLM prompts for safety metrics. It requires deep statistical skills in areas directly related to AI harms and leverages AI for measurement and automation.

About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability The Integrity pillar within Applied Foundations is responsible for the scaled systems that help identify and res…


Data Scientist, Integrity Measurement

Machine Learning
Data Science
LLM
Python
R
SQL
Data Analysis
Prevalence Estimation
Statistical Modeling
MLOps

The role explicitly focuses on applying data science and AI/ML techniques to measure and improve the safety of OpenAI's platforms. Tasks include developing AI-first methods for prevalence measurement, optimizing LLM prompts, and building productionized safety metrics. The core responsibility is deeply rooted in AI/ML applications.

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability The Integrity pillar within Applied Foundations is responsible for the scaled systems that help identify and respond to bad act…


Data Scientist, Integrity

Data Science
Machine Learning
Python
SQL
Fraud Detection
Abuse Detection
LLM
Embeddings
Fine-tuning
A/B Testing

The role explicitly focuses on building and deploying AI-powered systems for fraud and abuse detection, utilizing LLMs (GPT-5) and other AI techniques. The core responsibilities revolve around data science and machine learning to solve AI safety problems.

About the Team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important…


Data Scientist, GTM Growth Products

Data Science
Machine Learning
Causal Inference
Experimentation
SQL
Python
Statistical Modeling
LLMs
AI Agents

The role is fundamentally focused on building and measuring AI-powered revenue systems, requiring deep expertise in data science, experimentation, and causal inference to optimize agentic workflows and automation. The description explicitly centers around leveraging AI to improve GTM processes.

ABOUT THE ROLE We are hiring a Data Scientist to support GTM Growth Products, a cross-functional team building the internal systems that turn OpenAI's technology into measurable revenue leverage. Our mandate is to prove what an AI-native revenue organization can become: one where every signal, workflow, and customer moment can be understood, acted on, and improved by agents and humans together. We build systems that help GTM scale faster than headcount by finding opportunity, automating low-complexity work, routing judgment-heavy work to the right human…


Data Scientist, Strategic Finance

Generative AI, Data Science, Strategic Finance

Python
SQL
Predictive Modeling
Causal Inference
Machine Learning
Data Science
Data Analysis
Data Products
Agentic Solutions

The role explicitly focuses on building and owning models, performing causal inference, and creating data products – all core AI/ML activities. The position is within the Strategic Finance team, but the work is heavily data science and model-driven, not just financial analysis.

About the Team The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI’s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making. About the Role As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement,…


Data Scientist, Infrastructure

Data Science
SQL
Python
Modeling
Forecasting
Optimization
Data Analysis
Machine Learning
NLP
LLM

The role explicitly focuses on building datasets, metrics, and models to optimize infrastructure supporting AI products and research. The candidate will be a core partner to AI-focused teams.

About the Team Our infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it…


Data Science
Statistics
Data Analysis
Machine Learning
Mathematical Modeling

The job title explicitly mentions 'Data Scientist' and focuses on statistical data analysis for Proof-of-Concept systems, indicating a core focus on data science and potentially machine learning.

Mathematiker / Data Scientist (m/w/d) Statistik & Datenanalyse für PoC-Systeme (915) Mathematiker/in


Ulm, Donau, Baden-Württemberg, Deutschland

Data Science
Machine Learning
AI
Software Engineering

The job title explicitly mentions 'Data Scientist AI' and the description confirms a focus on data science. The company is actively seeking someone to work with AI technologies.

Senior Software Engineer / Data Scientist AI (d/m/w/x) Data Scientist


Data Scientist (m/w/d)

Geisingen, Baden, Baden-Württemberg, Deutschland

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python
R

The job title explicitly mentions 'Data Scientist' and the description implies a focus on data analysis and modeling, which are core data science activities.


(Senior) Data Scientist (m/f/d)

Data Science
Machine Learning
Datenbankentwicklung
Modellierung
Statistik
Python
R

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science und die Entwicklung von datengetriebenen Lösungen konzentriert. Die Erwaehnung von Datenbankentwicklung deutet auf die Notwendigkeit der Datenaufbereitung und -verwaltung hin, was ein wesentlicher Bestandteil von Data-Science-Projekten ist.

(Senior) Data Scientist (m/f/d) Datenbankentwickler/in


Signal Processing
Machine Learning
Artificial Intelligence

The job title and description explicitly mention Artificial Intelligence and Machine Learning as core components of the role. The focus is on engineering related to these fields.

Signal Processing Engineer - Artificial Intelligence (m/w/d) Machine Learning Engineer


Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich direkt mit der Anwendung von KI/ML in einem technischen Kontext befasst. 'AI Engineer' ist ein klarer Hinweis auf eine Kern-KI-Position.

AI Engineer (w/m/d) Cost & Value Engineering Informatiker/in


Applied Value Engineer

Process Intelligence, Industrial AI, Energy, Manufacturing

AI
ML
LLM
Python
LangChain
RAG
Data Engineering
MLOps
Prompt Engineering
GenAI

The role explicitly focuses on applying AI/ML/LLM technologies to solve business problems for strategic customers, building solutions with AI partners, and deploying AI agents. The responsibilities heavily emphasize AI solutioning, prototyping, and implementation.

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes…


Product Manager

Generative AI, ML/AI application development, Enterprise AI solutions

Generative AI
ML/AI application development
AI product strategy
Python
Enterprise AI solutions

Die Rolle des Product Managers ist stark auf die Entwicklung und Umsetzung von AI-gestützten Lösungen ausgerichtet, insbesondere im Bereich Generative AI. Die Aufgaben beinhalten die Entwicklung von AI-Produkten, die Zusammenarbeit mit Entwicklern und die strategische Ausrichtung von AI-Produkten. Die Anforderungen beinhalten ein tiefes Verständnis von ML/AI und Erfahrung in der Entwicklung von ML-gestützten Produkten.

Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI for their business. We develop bespoke solutions that leverage our customer’s proprietary data and expertise to transform their businesses with AI. We work with them to understand the biggest levers for their business and then forward deploy with their teams to build cutting edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy cutting…


AI model inference
AI infrastructure
Cloud-native AI systems
MLOps
AI platform development
AI tool debugging
AI model deployment
AI compliance and security

Der Job beinhaltet die Entwicklung und Verwaltung von AI-Infrastruktur, Debugging von AI-Tools, Optimierung von Modellinferenz, und Integration in Cloud-Umgebungen. Die Rolle ist stark auf die Entwicklung und Bereitstellung von AI-Modellen ausgerichtet, mit klarem Fokus auf MLOps, Sicherheit und Skalierbarkeit.

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product…


Staff Technical Product Manager

Defense and national security AI applications

AI-powered product development
ML engineering
technical product management
model training
AI systems design

Die Rolle beinhaltet die Entwicklung und den Betrieb von AI-gestützten Produkten für Verteidigungsanwendungen, tiefes Verständnis von AI-Systemen, Hands-on-Entwicklung mit ML-Teams und klare Fokussierung auf KI-gestützte Lösungen in sicherheitskritischen Umgebungen.

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and more. Our mission is to develop reliable AI systems for the world’s most important decisions. Scale’s Global Public Sector (GPS) team is growing quickly and joining it is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed enti…


Senior Data Scientist

Data Science
Machine Learning
Statistik
Experiment Design
Data Modeling
Data Pipelines
ML Model Evaluation
LLM-based Systems

Die Rolle eines Senior Data Scientists bei Decagon beinhaltet tiefgehende Arbeit mit Datenmodellen, ML-Modellen, Experimenten und der Analyse von KI-Systemen. Die Aufgaben umfassen die Entwicklung skalierbarer analytischer Frameworks, die Integration von Daten in Produktnetzwerke und die Bewertung von ML-Modellen, was auf einen überwiegenden Kernbezug zu KI/AI/ML hindeutet.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations,…


Lead Consultant - Data Science & Artificial Intelligence

Process Intelligence, AI-driven business operations

Artificial Intelligence
Machine Learning
Process Mining
Data Science
SQL
Big Data
Data Mining
Process Automation

Die Rolle beinhaltet die Entwicklung datengetriebener Prozessanalysen, die Anwendung von Machine Learning und KI-Techniken, sowie die Nutzung von AI/ML-Algorithmen, um Geschäftsprozesse transparent und effizient zu gestalten. KI ist ein zentraler Bestandteil der Aufgabenstellung.


Software Engineer - New Grad

AI Data Foundry, Generative AI, Autonomous Systems, AI Evaluation

Computer Vision (implizit durch Labeling-Plattform)

Die Rolle beinhaltet direkte Arbeit mit ML-Modellen, AI-Infrastruktur, Modellqualitätskontrolle, automatisierten Matching-Algorithmen und RAG-Anwendungen. Die Aufgaben sind stark auf die Entwicklung und Integration von KI-Technologien ausgerichtet, was einen überwiegenden KI-Kern belegt.

At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private…


Der Jobtitel und die Bezeichnung 'Machine Learning InsurTech' deuten klar auf eine Rolle hin, die sich mit KI, insbesondere Machine Learning, beschäftigt. Der Titel 'Junior Data Scientist' unterstützt dies ebenfalls, da Data Science eng mit KI- und ML-Technologien verbunden ist.

Junior Data Scientist (m/f/d) Machine Learning InsurTech Data Scientist


Data AI Engineer (m/w/d)

Machine Learning
KI
Data Engineering
AI-Modellentwicklung

Der Jobtitel 'Data AI Engineer' und die Bezeichnung 'Machine Learning Engineer' deuten stark auf eine Rolle hin, die sich mit KI und ML beschäftigt. Die Kombination aus 'Data' und 'AI' sowie der explizite Hinweis auf Machine Learning legt nahe, dass KI/AI der überwiegende Kern der Tätigkeit ist.

Data AI Engineer (m/w/d) Machine Learning Engineer


Machine Learning
Künstliche Intelligenz
Modellentwicklung
Datenanalyse

Der Jobtitel und die Bezeichnung 'Machine Learning Engineer' deuten klar auf eine Rolle hin, die sich mit KI und ML beschäftigt. Der Titel 'Werkstudent Künstliche Intelligenz' unterstreicht den direkten Bezug zu KI-Arbeit.

Werkstudent Künstliche Intelligenz (m/w/d) Machine Learning Engineer


Duales Studium (m/w/d) – Data Science und Künstliche Intelligenz (B.Sc.)

Data Science
Künstliche Intelligenz
KI-Modellierung
Datenanalyse
Maschinelles Lernen

Der Jobtitel und das Unternehmen bieten ein duales Studium mit explizitem Fokus auf Data Science und Künstliche Intelligenz. Die Rolle ist klar auf technische KI- und Data-Science-Arbeit ausgerichtet.


Duales Studium - Data Science und Künstliche Intelligenz (m/w/d)

Grünwald, Kreis München, Bayern, Deutschland

Der Jobtitel und das Unternehmen deuten darauf hin, dass Data Science und KI zentrale Bestandteile des dualen Studiums sind. Es handelt sich um eine akademische Ausbildung mit Fokus auf KI und Data Science.


Research Engineer - Process Mining Technology

Process Intelligence, AI-Driven Business Operations, Data Science

Process Mining
Object-Centric Process Mining (OCPM)
AI Research
Algorithm Development
Data Analytics
Machine Learning
Scientific Research
MLOps
Product Integration

Die Rolle beinhaltet die Entwicklung und Implementierung von fortschrittlichen Algorithmen im Bereich Object-Centric Process Mining (OCPM), wobei wissenschaftliche Forschung, Evaluation und Integration in ein AI-gestütztes Produktportfolio zentral sind. Celonis ist ein führender Anbieter von Process Intelligence, und die Position ist klar auf die Weiterentwicklung von KI-gestützten Prozessmodellierungsansätzen ausgerichtet.


Senior Staff Software Engineer, Agentic AI Product - Moveworks

Agentic AI
KI-Produktentwicklung
Software Engineering
KI-Systeme

Der Jobtitel erwähnt explizit 'Agentic AI Product', was auf eine zentrale Rolle bei der Entwicklung von KI-basierten Produkten hindeutet. Der Titel 'Senior Staff Software Engineer' in Kombination mit 'Agentic AI' legt nahe, dass KI/AI der überwiegende Kern der Rolle ist.


AI Engineer (m/w/d)

Stiftung Kirchliches Rechenzentrum Südwestdeutschland

Machine Learning
KI-Entwicklung
Modelltraining
Datenanalyse
Algorithmendesign

Der Jobtitel 'AI Engineer' und die Bezeichnung 'Machine Learning Engineer' deuten klar auf eine Rolle hin, die sich überwiegend mit KI und ML beschäftigt. Der Titel und die erwähnte Rolle legen nahe, dass KI/AI der Kern der Tätigkeit ist.

AI Engineer (m/w/d) Machine Learning Engineer


Generative AI
Künstliche Intelligenz
Maschinelles Lernen

Der Jobtitel und die Beschreibung beziehen sich direkt auf Generative AI und KI im Engineering-Kontext. Der Titel 'Intern Generative AI in Engineering' deutet auf eine Rolle hin, in der KI und ML zentrale Themen sind.

Intern Generative AI in Engineering (f/m/x) Bachelor Professional - Künstliche Intelligenz und Maschinelles Lernen


KI-Modellentwicklung und Anwendung in der Luft- und Raumfahrt

Generative AI
Agentic AI
Machine Learning
Softwareentwicklung
KI-Modellentwicklung

Der Jobtitel und die Bezugnahme auf 'Generative AI' und 'Agentic AI' deuten klar auf eine zentrale Rolle in der Entwicklung und Anwendung von KI-Modellen hin. Die Tätigkeit erfolgt im Kontext von AIRBUS Defence and Space, was auf eine technisch anspruchsvolle und überwiegend KI-fokussierte Rolle hindeutet.

Generative AI / Agentic AI Engineer (m/w/d) für AIRBUS Defence and Space Softwareentwickler/in


Senior Applied Value Engineer - UKI Oil & Gas

Applied AI, Generative AI, Process Intelligence, LLMs, MLOps

Generative AI
RAG
Prompt Engineering
Multi-agent orchestration
LLM orchestration
Fine-tuning
ML Libraries (e.g., PyTorch, sklearn)
Python
Data Engineering
AI Roadmaps
ROI/TCO Business Cases

Die Rolle beinhaltet tiefgehende Arbeit mit Generative AI, LLMs, RAG, Prompt Engineering, und agentenbasierten Systemen. Der Senior Applied Value Engineer ist direkt für die Entwicklung, Prototypisierung und Implementierung von AI-Lösungen verantwortlich, die auf dem Celonis Process Intelligence Graph basieren. Die Aufgaben sind stark auf die Anwendung von KI/ML/LLM-Fähigkeiten ausgerichtet, um Geschäftsprozesse zu transformieren und ROI zu generieren.


デリバリーソリューションアーキテクト

Data Intelligence, Machine Learning, AI-Plattformen

AI-Plattformen
Datenanalyse
Machine Learning
Data Engineering
Python
SQL
Scala
Distributed Systems
Delta Lake
MLflow
Apache Spark
Data Intelligence

Die Rolle des Delivery Solution Architects bei Databricks ist stark auf die Implementierung und Nutzung von AI-Plattformen wie Delta Lake, MLflow und Apache Spark ausgerichtet. Der Kandidat unterstützt Kunden bei der Nutzung von Databricks für komplexe Daten- und AI-Anwendungen, was einen überwiegenden technischen und konzeptionellen Bezug zu KI/AI/ML/Data Science darstellt.

CSQ327R31 Databricksは、お客様がAIプラットフォームを活用して、世界で最も難しいなデータに関する課題を解決できるよう支援することをミッションとしています。デリバリーソリューションアーキテクト（DSA）は、この重要なミッションにおいて、セールスおよびフィールド・エンジニアリングチームと協力し、お客様のDatabricksプラットフォームの導入と利用拡大を加速させる重要な役割を担います。DSAとして、お客様がすでに導入を決定したDatabricksのワークロードについて、お客様がプラットフォームから最大限の価値と投資対効果を得られるよう、技術的な指導とサポートを提供し、お客様の成功を確実にします。特に、複雑な課題を抱えるお客様に対して、より重点的かつ技術的な責任を持って支援を行います。 このポジションは、技術とビジネスの両面を兼ね備えたハイブリッドな役割です。担当するお客様とユースケースにおいて、成長を推進します。ビジネス面では、お客様の意思決定者と関係を構築し、他の専門チームと連携しながら、Databricksが実行できる計画や戦略を策定・推進します。技術面ではDatabricksの全製品における、お客様導入後の技術的なリーダーとなります。組織内のあらゆるレベルの人々と、技術的な専門…


Data & AI Platform Architect (Professional Services)

Data Engineering
Data Platforms
Analytics
Apache Spark
MLOps
Cloud Computing (AWS, Azure, GCP)
CI/CD
End-to-end Data Architecture Design
Big Data Solutions
AI Applications

Die Rolle beinhaltet umfassende Arbeit an Data Engineering, AI-Plattformen, MLOps, Big Data und Cloud-Infrastrukturen. Der Fokus liegt auf der Entwicklung und Implementierung von Data & AI-Lösungen für Kunden, was einen überwiegenden technischen Kern in KI/AI darstellt.

CSQ327R45 Depending on experience and scope, this position may be offered as Senior Solutions Consultant or Resident Solutions Architect You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership. As a Data & AI Platform Architect (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their b…


Data Scientist, Supply

AI Systems Optimization and Compute Allocation

Data Science
Operations Research
Causal Inference
Optimization
Python
SQL
Data Visualization
Large-Scale Systems Analysis
AI/ML Products

Die Rolle ist stark auf die Optimierung von Compute-Ressourcen fuer AI-Systeme ausgerichtet, mit direktem Bezug zu ML/LLM-Infrastruktur, Messung von AI-Effekten und Integration in Produktionsumgebungen. Die Aufgaben beinhalten die Entwicklung von Analyse-Frameworks fuer AI-Systeme, Zusammenarbeit mit Infrastruktur-Engineering und direkte Einflussnahme auf AI-Strategien.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is compute-constrained, and how we allocate that compute is one of the highest-leverage decisions we make as a company. Today, those allocation choices are only loosely tied to the user outcomes w…


Applied AI Engineer

Applied AI, LLMs, AI Product Engineering

LLMs
Prompt Engineering
Agent Development
Evaluation Frameworks
Python
MLOps
AI Product Development

Die Rolle eines Applied AI Engineers bei Anthropic ist stark auf die praktische Anwendung von KI, insbesondere LLMs, ausgerichtet. Die Aufgaben beinhalten die technische Beratung von Kunden, die Entwicklung von Evaluationsrahmen, die Gestaltung von Architekturen für LLM-Anwendungen und die Durchführung von Workshops. Die Anforderungen beinhalten auch konkrete Erfahrung mit LLMs, Prompt Engineering und Python, was auf eine tiefgehende technische KI-Arbeit hindeutet.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to customers as they adopt Claude. You will work closely with custom…


Data Scientist, Support

Support Data Science mit Fokus auf LLM-basierte Klassifizierung und Analyse

Data Science
LLMs
Text Klassifizierung
Prompt Engineering
Fine-Tuning
BI Dashboards
Predictive Modeling
MLOps
Data Pipelines
Data Quality

Die Rolle beinhaltet tiefgehende Arbeit mit LLMs zur Klassifizierung von Support-Daten, die Entwicklung von Dashboards, die Zusammenarbeit mit Data Science und Engineering sowie die Implementierung von Modellen und Pipelines. KI ist ein zentraler und überwiegender Bestandteil der Aufgaben.

About the Team The User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterpr…


Strategy & Execution Manager, GTM

AI Automation, AI-Driven Operations, Modern Data Stack

AI deployment lifecycle
prompt engineering
RAG pipelines
agent orchestration
evaluation frameworks
Foundation Model APIs
Databricks native stack
production-grade AI systems

Die Rolle beinhaltet hands-on Entwicklung und Deployment von AI-Lösungen, inklusive Prompt Engineering, RAG-Pipelines, Agent-Orchestrierung und Evaluation-Frameworks. Der Kandidat muss end-to-end AI-Systeme gebaut haben und ist direkt für die Architektur und den Betrieb von AI-gestützten Prozessen verantwortlich. Die Aufgaben sind stark auf die Entwicklung und Optimierung von AI-Systemen ausgerichtet.

CSQ227R245 Strategy and Execution Manager, GTM The Strategy & Execution Manager is responsible for operationalizing Services and Enablement strategy using AI. You will lead the optimization of programs, financial planning, and cross-functional initiatives to scale the business for continued hyper-growth. This role is unique: you will bridge the gap between high-level executive strategy and technical execution, specifically by leveraging AI automation to streamline Services and Enablement delivery, improve margins, and automate complex internal workflows…


Staff Software Engineer - Customer Engagement & Docs Platform

AI-Powered Customer Engagement and Documentation Platform

Machine Learning
Large Language Models (LLMs)
Retrieval Systems
AI Evaluation
Knowledge Systems
Data Analysis
Product Development with AI

The role explicitly involves working at the intersection of product development and machine learning, with a focus on AI/LLMs to improve customer problem resolution. The job requires deep technical proficiency in ML and software engineering, and the systems being developed are directly tied to AI evaluation, answer retrieval, and quality improvement.

Who we are At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling ou…


Staff Software Engineer - Agent Quality

AI Agents
GenAI
Evaluation Infrastructure
LLM Quality Measurement
MLOps
Distributed Systems
Data Pipelines

Die Rolle ist zentral an der Entwicklung und Evaluation von AI Agents ausgerichtet, mit Fokus auf GenAI, Qualitätssicherung und kontinuierliche Verbesserung von Modellen. Die Aufgaben beinhalten die Erstellung von Infrastruktur, Tooling und Workflows, die direkt mit KI-Modellen und deren Qualitätssicherung verbunden sind.

Staff Software Engineer - Agent Quality P-1215 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the…


Data & AI Engineering, Production AI Systems

Data pipelines
AI workflows
Streaming data ingestion
Spark core internals
Spark SQL
Delta
DLT
Model Serving
Big Data technologies
ML/AI applications

Die Rolle beinhaltet tiefgehende Arbeit mit Data & AI-Technologien, einschließlich der Analyse und Optimierung von AI-Workflows, Modell-Serving, Spark und Delta. Der Job ist stark auf die Entwicklung, Wartung und Unterstützung von komplexen Data & AI-Systemen ausgerichtet, was einen überwiegenden Kern an KI/ML-Arbeit darstellt.

P-1398 Note: this is a hybrid role and requires ~3 days in the office in Plano, Tx. Mission As a Staff Data & AI Technical Solutions Engineer, you will personally drive and mentor others in producing Data & AI technical solutions for any issues reported by customers - including deep diving into production data pipelines, AI workflows, streaming data ingestion, and more. You have deep expertise in Data & AI architectures, having seen a broad set of use cases and successfully maintained complex production environments while adhering to SLA’s. You collabor…


Solutions Architect: Data & AI - Public Sector

Data Engineering
AI
Data Science
Apache Spark
Big Data
Cloud Architecture
MLOps
Machine Learning
Analytics

Die Rolle eines Solutions Architects bei Databricks ist stark auf Data Engineering, AI, Data Science und Big Data ausgerichtet. Die Aufgaben beinhalten die Entwicklung von Referenzarchitekturen, die Integration von AI-Technologien und die technische Beratung bei der Nutzung des Databricks Lakehouse Platforms. Die Erfahrung in Apache Spark, Cloud-Architektur und Data Science ist explizit gefordert, was auf einen überwiegenden Kernbezug zu KI/AI/ML deutet.

FEQ427R303 As a Solutions Architect, you will be the technical cornerstone of the sales process, driving hands-on evaluations and serving as a strategic advisor to both our customers and internal teams. You will bridge the gap between business vision and technical execution, helping organizations solve their most complex challenges in big data, analytics, and data science. By acting as a technical advocate in the field, you will directly influence the product roadmap while helping customers achieve tangible, data-driven outcomes through the Databricks L…


Senior Software Engineer - Data + AI Observability

AI Observability
Data Infrastructure
Distributed Systems
Cloud Technologies
MLOps
AIOps
Data Pipeline Optimization

Die Rolle befasst sich direkt mit der Entwicklung von Produkten für AI Observability, wodurch Kunden Einblicke in ihre AI- und Datenworkloads erhalten. Die Aufgaben umfassen die Entwicklung skalierbarer Datenpipelines, Optimierung von Kosten und Integration in die Data-Warehouse-Ökosysteme, was eng mit KI-Infrastruktur und MLOps verbunden ist.

P-1385 Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening? At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and cu…


Senior Software Engineer (Backend) - AI/ML Environments

ML/AI infrastructure
distributed systems
containerization
dependency management
system observability
cloud-native infrastructure

Die Rolle ist direkt im ML/AI Environments Team angesiedelt und befasst sich mit der Entwicklung von Infrastruktur, die Forschern und Ingenieuren ermöglicht, Trainings- und Servierumgebungen für KI zu konfigurieren. Die Aufgaben umfassen die Arbeit an skalierbaren APIs, Cloud-Native-Infrastruktur, Observability und Optimierung von virtuellen Umgebungen, was zentrale Aspekte der AI-Infrastruktur darstellt.

P-78 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling ou…


Manager, Professional Services

Data Intelligence, AI Transformation, Enterprise AI/ML

AI/ML
MLOps
Generative AI
Data Engineering
Delta Lake
MLflow
Apache Spark
Data Migrations
AI Governance

Die Rolle beinhaltet die Führung von AI-Engineering-Teams, die Entwicklung von AI/ML-Plattformen, Generative AI-Projekte, MLOps und Data-Migrationen. KI ist ein zentraler Bestandteil der Kundenprojekte und der täglichen Arbeit.

CSQ327R50 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As Manager, Professional Services for NSW, you will lead a high-performing team of Resident Solutions Architects and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you w…


AI Product Sales Specialist

AI
ML
Machine Learning
AI/ML Solutions
AI Product Sales

The role is explicitly focused on selling AI/ML solutions, understanding customer AI/ML needs, and driving adoption of Snowflake's AI/ML capabilities. The responsibilities heavily revolve around AI/ML technologies and their application within an enterprise context.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more…


Data Scientist

General Data Science / Product Analytics

Data Science
Machine Learning
SQL
Python
R
Data Modeling
Experimentation
Statistical Analysis

The role explicitly requires a Data Scientist to build models, design experiments, and uncover insights. The company, Figma AI, is focused on AI-powered design tools. The description highlights applying data science to product, marketing, and platform initiatives.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an experienced Data Scientist to join our growing data team.…


Software Engineer, AI Product (London, United Kingdom)

LLM
Generative AI
Agentic Workflows
Machine Learning
AI Product Development

The role explicitly focuses on building generative AI products and agentic workflows within a design tool. The description highlights the company's investment in AI features like Dev Mode and MCP, and seeks engineers to lead AI efforts end-to-end.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma we believe design doesn’t end in a file or with your designer — it inc…


Data Scientist, Marketing

Machine Learning
Statistical Modeling
Data Analysis
SQL
Python
Causal Inference
Experimentation

The role explicitly requires developing and applying machine learning models to solve marketing challenges, building measurement frameworks, and conducting advanced data analysis. The focus is heavily on leveraging data science techniques for marketing optimization.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a Marketing Data Scientist to join Figma's Data Science team…


Senior Data Scientist

Data Science
Machine Learning
Python
SQL
Data Modeling
Data Pipelines
AI Tools
Statistical Analysis
Data Analysis

The role is explicitly focused on using data science and AI to improve a core AI product (Fin AI Agent). The description highlights building data products, leveraging AI tools, and automating workflows, indicating a strong AI focus.

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system…


Senior Data Scientist - Product Analytics

Product Analytics, Customer Intelligence

Data Science
SQL
Python
R
Data Modeling
ETL
Statistical Analysis
Machine Learning

The role explicitly requires a Data Scientist to drive data projects impacting customers and end-users, focusing on metrics, analysis, and building models. The company is an 'AI Customer Agent' company, indicating a strong AI focus.


Data Scientist, GTM

Data Modeling
Data Pipelines
Machine Learning
Forecasting
Data Analysis
SQL
Data Science
Causal Inference

The role explicitly focuses on building data models and pipelines to drive insights for GTM, with a strong emphasis on AI-first data interaction and model building for forecasting and optimization. The description highlights the use of data science techniques to improve revenue and GTM performance.

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. Cursor is expanding rapidly into the Enterprise AI coding market, and our GTM organization is scaling just as fast. As one of the first hires on our GTM Analytics t…


Data Scientist

Marketing Analytics / Customer Analytics / GenAI

LLMs
Machine Learning
Data Science
Python
SQL
NLP
Statistical Modeling
Causal Inference
Data Mining

The role explicitly focuses on building AI-powered analytics systems, leveraging LLMs and agents to automate insights, and applying data science techniques (churn modeling, attribution, segmentation) to drive business outcomes. The description emphasizes using AI to scale analysis beyond manual capabilities.

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Replit is redefining how software is built and who gets to build it. Our mission is Autonomy for All — making programming accessible, collaborative, and powered by AI. This role owns how Replit understands its customers across every touchpoint. You'll build the analytics and intelligence lay…


Staff Data Scientist, Marketing

Data Science
Machine Learning
Statistical Modeling
Python
R
SQL
Marketing Analytics
Marketing Mix Modeling
Attribution Modeling
Data Infrastructure

The role explicitly requires building data science functions for marketing, designing and implementing ML models for marketing performance, and applying statistical techniques to user behavior. The focus is heavily on leveraging data science to drive marketing strategy and optimization.

WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity…


Staff Data Scientist, Monetization

Data Science
Machine Learning
Experimentation
Metrics
Analytics
Statistical Modeling
Data Analysis

The role explicitly requires a Data Scientist to optimize monetization systems using data-driven insights and experimentation. The focus is on building data science foundations for a rapidly growing AI platform. The company is heavily invested in AI and the role is central to its core business.

ABOUT THE ROLE: Character.AI http://Character.AI is building the future of open-ended interactions between people and intelligent agents. As our platform scales, so does the opportunity to build sustainable, user-aligned monetization through subscriptions, advertising, and virtual currency economies. We are seeking a Staff Data Scientist to partner closely with product, engineering, and growth teams to scale and optimize Character.AI http://Character.AI’s monetization systems. This role focuses on enabling teams to design, launch, and iterate on data-in…


The job title explicitly mentions 'AI' and 'Data Models', and the description indicates a focus on managing AI-driven sales data models. This suggests a core AI role.

AI Product Lead - Sales Data Models (gn) Vollzeit/Teilzeit (hybrid) KI-Manager/in


Münster, Westfalen, Nordrhein-Westfalen, Deutschland

Generative AI
AI
Business Analyse
Anforderungsmanagement

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit Generativer KI befasst. Die Aufgaben umfassen wahrscheinlich die Analyse von Geschäftsanforderungen im Kontext von GenAI-Anwendungen.

Business Analyst Generative Artificial Intelligence (m/w/d) Business-Analyst/in


Knowledge Representation & Reasoning, Generative AI

Data Engineering
Knowledge Graphs
Generative AI
RDF
Data Modeling
Data Pipelines

The job description explicitly mentions 'Generative AI' and focuses on building data infrastructure for it, alongside Knowledge Graphs, indicating a core AI/ML focus. Data Engineering is applied directly to AI technologies.

(Senior) Data Engineer (f/m/d): RDF Knowledge Graphs and Generative AI Data Engineer


Machine Learning
Data Analysis
Scientific Computing
Python

The job title explicitly mentions Machine Learning and the description implies a focus on applying these techniques within an engineering context. The role is directly related to developing and implementing ML solutions.

Werkstudent für Scientific Computing & Machine Learning (d/m/w) Ingenieur/in - Luft- und Raumfahrttechnik


Data Scientist BI (m/w/d)

Data Science
BI
Data Mining
Statistical Modeling
Machine Learning

Der Titel und die kurze Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science konzentriert. BI-Fokus impliziert Analyse und Modellierung, was in den Bereich der KI fällt.

Data Scientist BI (m/w/d) Data Scientist


Data Scientist BI (m/w/d)


Data Science
BI
Data Analysis
Machine Learning
Statistical Modeling

The job title explicitly mentions 'Data Scientist' and the description implies a focus on data analysis and modeling, which are core data science activities. The BI aspect suggests data-driven insights, aligning with AI/ML applications.

Data Scientist BI (m/w/d) Vollzeit/Teilzeit Data Scientist


Machine Learning
TwinCAT
Automatisierungstechnik
Modellentwicklung
Datenanalyse

Die Stellenbeschreibung fokussiert direkt auf Machine Learning innerhalb der TwinCAT-Automatisierungsplattform. Der Titel und die Beschreibung deuten auf eine Kernrolle in der Entwicklung und Implementierung von ML-Lösungen hin.

Applikationsingenieur (m/w/d) TwinCAT Machine Learning Ingenieur/in - Automatisierungstechnik


Data Science
Statistics
Biostatistics
Machine Learning

The job title explicitly mentions 'Data Scientist' and the description focuses on data science tasks. Biostatistics is a core component of data science, especially in regulated industries.

Senior Biostatistician / Data Scientist (w/m/d) Data Scientist


Machine Learning
Deep Learning
Python
Data Analysis

Die Stellenanzeige sucht explizit nach einem Masteranden mit Fokus auf Machine Learning und Deep Learning. Der Schwerpunkt der Arbeit liegt klar auf KI-Technologien.

Abschlussarbeit (Master) Machine Learning / Deep Learning (m/w/d), corpuls Kaufering (H... E-Learning-Autor/in


Essen, Ruhr, Nordrhein-Westfalen, Deutschland

Data Science
Machine Learning
Customer Analytics
Statistical Modeling
Data Mining

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf die Anwendung von Data Science und Machine Learning zur Analyse von Kundendaten konzentriert. Der Fokus liegt auf der Entwicklung und Implementierung von Modellen zur Verbesserung des Kundenverständnisses.

(Senior) Data Scientist Customer Analytics (m/w/d) Business-Analyst/in


Data Science
Machine Learning
Telematics
Data Analysis
Statistical Modeling
Project Management

The job title explicitly mentions 'Data Scientist' and the description implies a focus on data analysis and modeling within the telematics domain. Project management is a secondary skill.

Data Scientist in Telematik mit Schwerpunkt Projektmanagement (w/m/d) Data Scientist


Pricing Data Scientist (w/m/d)

Data Science
Machine Learning
Statistical Modeling
Pricing Optimization
Data Analysis

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf die Anwendung von Data Science und Machine Learning zur Preisgestaltung konzentriert. Dies ist ein direkter Kernbereich der KI.

Pricing Data Scientist (w/m/d) Data Scientist


Machine Learning
AWS
Cloud Computing
Data Engineering
KI

Die Stellenbeschreibung deutet stark auf eine Trainingsrolle hin, die sich auf Cloud KI und AWS Machine Learning konzentriert. Die Erwähnung von Data Engineer verstärkt den KI-Fokus.

Online Trainer / Dozent (m/w/d) Cloud KI & AWS Machine Learning Engineer...,Hamburg,Oldenburg,Han... Data Engineer


Data Science
Data Analysis
Statistical Modeling
Machine Learning
Reporting
Data Visualization

Die Rolle ist explizit als 'Data Scientist' definiert und fokussiert auf datenwissenschaftliche Methoden im Reportingbereich. Dies deutet auf einen hohen Anteil an Kern-KI-Arbeit hin.

Data Scientist (m/w/d) im Reportingbereich Data Scientist


Data Science
Machine Learning
Geoinformatik
Datenanalyse
Modellierung

Die Stellenbeschreibung deutet auf eine Rolle hin, die stark auf Datenanalyse und Modellierung im Kontext von Klima- und Umweltfragen ausgerichtet ist. Die Kombination aus Data Science und Geoinformatik deutet auf die Anwendung von KI/ML-Techniken auf räumliche Daten hin.

Fachkraft (w/m/d) Data Scientist / Geoinformatiker im Fachzentrum Klima Geograf/in


SENIOR DATA SCIENTIST*, HS48 Zentrale

Data Science
Data Warehousing
Data Analysis
SQL
Statistical Modeling

Der Titel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf die Analyse von Daten konzentriert, was ein Kernbestandteil der Data Science ist. Die explizite Nennung von 'Data Scientist' und 'Data-Warehouse-Analyst' bestärkt dies.

SENIOR DATA SCIENTIST*, HS48 Zentrale Data-Warehouse-Analyst/in


Walldorf, Baden, Baden-Württemberg, Deutschland

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python
R

The job title explicitly mentions 'Data Scientist' and the description focuses on data science work within the People Insights domain. This suggests a core focus on applying data science techniques to HR data.

SAP iXp Intern (f/m/d) - People Insights Data Scientist Data Scientist


Data Scientist & Data Analyst (f/m/d)

Data Science
Data Analysis
Machine Learning
Statistical Modeling
Python
Data Mining

The job title explicitly mentions 'Data Scientist' and the description focuses on data-driven insights, suggesting a core focus on data science techniques and model building.

Data Scientist & Data Analyst (f/m/d) Data Scientist


Informatiker / Data Scientist (m/w/d)

Data Science
Machine Learning
Python
Data Analysis
Statistical Modeling

Der Jobtitel beinhaltet explizit 'Data Scientist' und die Beschreibung deutet auf eine Rolle hin, die sich mit Datenanalyse und Modellierung beschäftigt, was Kernaufgaben eines Data Scientists sind. Die Kombination mit IT-Systemadministration deutet auf MLOps-Aspekte hin.

Informatiker / Data Scientist (m/w/d) IT-Systemadministrator/in


Computer Vision
Machine Learning
C++
Rust
Linux

Die Stellenbeschreibung nennt explizit Computer Vision und Machine Learning als Kernkomponenten der Softwareentwicklung. Die Verwendung von Rust und C++ deutet auf eine Implementierung auf niedriger Ebene hin, was typisch für ML/CV-Anwendungen ist.

Senior Software Engineer* Rust/ C++ (Computer Vision, ML, Linux) Softwareentwickler/in


Data Scientist (m/w/d), Frankfurt

Data Science
Data Analysis
Data Warehousing
Machine Learning

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science und Datenanalyse konzentriert. Die Erwaehnung von Data-Warehouse-Analyst/in deutet auf die Anwendung von Data-Science-Techniken im Kontext von Data Warehousing hin.

Data Scientist (m/w/d), Frankfurt Data-Warehouse-Analyst/in


Data Scientist Marktlogistik (w/m/d)

Karlsruhe, Baden, Baden-Württemberg, Deutschland

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python
Data Mining

The job title explicitly mentions 'Data Scientist' and the description implies a focus on data-driven problem solving within market logistics, suggesting core data science work.

Data Scientist Marktlogistik (w/m/d) Data Scientist


Oldenburg (Oldb), Niedersachsen, Deutschland

Data Science
Machine Learning
Zeitreihenanalyse
Prognosemodellierung
Python
Statistik

Die Stellenbeschreibung fokussiert direkt auf die Entwicklung von Vorhersagemodellen für Solar- und Windstrom, was ein klarer Kernbereich von Data Science und Machine Learning ist.

Datenanalyst / Data Scientist (w/m/d) - Vorhersagen für Solar- und Windstrom Data Scientist


Data Science
Big Data
Data Analysis
Machine Learning

Der Titel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf die Analyse großer Datenmengen und die Anwendung von Data-Science-Methoden konzentriert. Die Erwähnung von Mathematikern deutet auf eine starke analytische Komponente hin.

Big Data Scientist / Data Analyst (w/m/d) Mathematiker/in


Artificial Intelligence
Data Science
Cloud Computing
Machine Learning

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf KI und Daten konzentriert. Die explizite Erwaehnung von 'Artificial Intelligence' und 'Data' im Titel sowie die Rolle als 'Trainee' deuten auf eine Einstiegsposition mit Fokus auf diese Bereiche hin.

Trainee Cloud & Data - Dein Einstieg in Artificial Intelligence & Data (m/w/d) Cloud-Architect


Generative AI
AI
Business Analyse
Anforderungsmanagement

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit Generativer KI befasst. Die Aufgaben umfassen wahrscheinlich die Analyse von Geschäftsanforderungen im Kontext von GenAI-Anwendungen.

Business Analyst Generative Artificial Intelligence (m/w/d) Business-Analyst/in


Senior Applied AI Solutions Architect - Process Intelligence (Public Sector)

Process Intelligence, Business Operations

AI
ML
LLM
Python
Process Intelligence
RAG
Prompt Engineering
GenAI
Data Science
MLOps

The role explicitly focuses on designing and implementing AI-powered solutions for customers, leveraging platforms like Celonis and integrating with major AI/ML technologies (Microsoft, OpenAI, Databricks). The core responsibilities revolve around identifying AI opportunities, prototyping solutions, and driving adoption, indicating a strong AI focus.

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes…


Senior Management & Technology Consultant - AI & Process Analytics (Public Sector)

AI
ML
LLM
Python
Process Intelligence
Process Mining
RAG
Prompt Engineering
GenAI
Data Science
AI Solution Architecture

The role explicitly focuses on designing and implementing AI-powered solutions for customers, leveraging Process Intelligence and modern AI technologies. The job title and description heavily emphasize AI and its application to business problems. The candidate is expected to prototype AI solutions and drive adoption.


Senior Applied AI Engineer - Public Sector

AI
ML
LLM
Python
RAG
Prompt Engineering
GenAI
Data Science
Process Intelligence

The role explicitly focuses on designing and implementing AI-powered solutions for customers, working with AI/ML technologies (Microsoft, OpenAI, Databricks), and prototyping AI solutions. The core responsibility is to deliver business value through AI. The description emphasizes translating business problems into AI solutions.


Senior Applied AI Solutions Architect - Process Intelligence

AI
ML
LLM
Python
RAG
Prompt Engineering
GenAI
Data Science
Process Intelligence
MLOps

The role explicitly focuses on designing and implementing AI-powered solutions for customers, leveraging platforms like Celonis and integrating with major AI/ML providers. The core responsibilities revolve around identifying AI opportunities, prototyping solutions, and driving adoption, indicating a strong AI focus.


Senior Applied AI Engineer

The role explicitly focuses on designing and implementing AI-powered solutions for customers, working with leading AI/ML technologies, and driving AI innovation. The core responsibilities revolve around identifying AI opportunities, prototyping solutions, and delivering business impact through AI.


Associate Applied AI Engineer (APAC) - Orbit Program

Machine Learning
LLM
AI Strategy
Data Science
Python
SQL

The role explicitly focuses on developing and prototyping AI solutions (including LLMs) for customers, leveraging the Celonis Process Intelligence Platform. The job description repeatedly emphasizes AI and its application to business problems. The candidate is expected to have a passion for AI and basic coding skills in Python/SQL.


Associate Applied AI Engineer (Japan) - Orbit Program


Associate Applied AI Engineer (Madrid/Spain) - Orbit Program

The role explicitly focuses on developing and prototyping AI solutions (including LLMs) for customers, leveraging the Celonis Process Intelligence Platform. The job description highlights AI as a core component of the Value Engineering function and requires experience with AI technologies.


Applied Value Engineer

LLM
RAG
Agentic Systems
Prompt Engineering
Python
Machine Learning
Data Analysis
Process Mining

The role explicitly focuses on building AI solutions (LLM/Agent-based) for customers, prototyping, and ensuring value realization. It requires hands-on experience with LLMs, RAG, and related technologies. The core of the job is applying AI to customer problems using the Celonis platform.


Associate Applied AI Engineer (Benelux) - Orbit Program

The role explicitly focuses on developing and prototyping AI solutions (including LLMs) for customers, leveraging the Celonis Process Intelligence Platform. The job description repeatedly emphasizes AI and its application to business problems. The candidate is expected to have a strong understanding of AI technologies.


Associate Applied AI Engineer (Scale EMEA) - Orbit Program

The role explicitly focuses on developing and prototyping AI solutions (including LLMs) for customers, working with the Celonis Process Intelligence Platform, and contributing to AI product innovations. The job description heavily emphasizes AI and its application to business problems.


Associate Applied AI Engineer (DACH) - Orbit Program


Operations Program Manager (Computer Vision), Public Sector

Computer Vision
Machine Learning
Data Annotation
MLOps
Data Analysis
Data Quality
Generative AI

The role is directly focused on ML operations for computer vision projects, optimizing data workflows, and delivering data for AI/ML objectives. The job description explicitly mentions computer vision, machine learning, and data annotation as core responsibilities.

Scale's Public Sector customer base is growing rapidly, and you will be on the front lines of machine learning (ML) operations to accelerate the development of artificial intelligence (AI) applications for the Department of Defense and other national security customers. As a Public Sector Operations Program Manager, you will act as the program manager for multiple projects on the Public Sector Computer Vision team, working cross-functionally with our Delivery and Engineering teams, and collaborating with a team of high performing operations managers and…


Staff Data Scientist - Infrastructure

Data Science
Machine Learning
Python
SQL
Spark
MLflow
Data Modeling
Statistical Analysis

The role explicitly focuses on building data science tooling, integrating it with the core product, and driving data-driven insights. The requirements clearly state experience in applying Data Science/ML in production. The candidate will be a key driver of data science within the company.

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-cr…


Senior Software Engineer, Fullstack - AI Product (NYC)

GenAI
LLM
MLOps
Data Science
AI Product Development
AI/ML Integration

The role explicitly focuses on building and shipping generative AI products with a significant UI/UX component. The job description highlights the creation of interfaces for GenAI agents and leveraging Databricks' AI infrastructure. The emphasis on 0-to-1 product development in the AI space strongly indicates a core AI role.

P-1606 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our ser…


Data Engineering
Data Science
Machine Learning
MLOps
Apache Spark
Python
Scala
Cloud Computing
Data Platforms
Data Architecture

The role explicitly focuses on building and deploying AI applications on the Databricks platform, requiring expertise in data engineering, data science, and MLOps. The job description highlights the design and implementation of end-to-end data and AI solutions for customers.

CSQ427R152 We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant or Resident Solutions Architect You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership. As a Data and AI Solution Architect (Professional Services) (Internal Title - Resident Solutions Architect) in our Professiona…


Data Scientist, GTM

Python
SQL
Statistical Modeling
Causal Inference
A/B Testing
Data Visualization
Machine Learning
Data Science

The role focuses on data science applied directly to a rapidly scaling AI platform, involving measurement, analysis, and modeling to drive commercial strategy. The company's core business is AI, and the position is deeply embedded within that context.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the c…


Data Scientist, Policy

Python
SQL
Data Analysis
Causal Inference
Machine Learning
Data Visualization

The role is explicitly focused on using data science to support policy work related to AI, analyzing product usage data, and understanding the impact of AI systems. The candidate will apply causal inference and data analysis techniques to inform policy positions and measure impact.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As one of our first Data Scientists dedicated to policy work, you will play a key role in ensuring Anthropic's work is understood by policymakers around the world. You'll sit at the intersection of data sci…


People Data Scientist

Machine Learning
Statistical Modeling
Data Analysis
Python
R
SQL
Causal Inference
Experimentation
Model Evaluation

The role explicitly focuses on applying data science, machine learning, and statistical modeling to people-related programs and processes. It involves building AI-assisted workflows and evaluating algorithmic systems, indicating a core AI focus.

About the Role As a People Data Scientist, you will bring deep expertise in research science, measurement, and experimentation to OpenAI’s most important People programs. You will design studies, evaluate people processes, build research frameworks, and help leaders understand how we can better empower employees, strengthen organizational systems, and deliver exceptional employee experiences. We’re looking for an experienced data scientist who can translate ambiguous People questions into rigorous research designs, validated insights, and actionable rec…


Data Scientist, Financial Engineering

Data Science
SQL
Python
A/B Testing
Experimentation
Causal Inference
Uplift Modeling
Data Analysis
Machine Learning

The role is explicitly focused on data science within the FinEng team at OpenAI, directly impacting revenue and customer experience through analytics and experimentation. The job description emphasizes building metrics, designing experiments, and using data to optimize pricing and monetization systems. The 'You Could Be An Especially Great Fit' section mentions advanced ML techniques like uplift modeling and causal inference.

ABOUT THE TEAM OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. ABOUT THE ROLE As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments, subscriptions, and pricing & monetization systems. You’ll define the m…


Data Science
Data Analysis
Data Mining
Machine Learning
Statistical Modeling

The job title explicitly mentions 'Data Scientist' and the description implies a focus on data analysis and potentially machine learning for insights. The role is centered around data and its interpretation, which is a core AI/ML activity.

(Senior) Data Scientist (w/m/d),München,Hamburg Data-Warehouse-Analyst/in


Apple Technology Engineering B.V. & Co. KG

AI
Machine Learning
Wireless Technologies
Data Analysis
System Analysis

The job title explicitly mentions 'AI Engineer' and focuses on applying AI to wireless systems analysis. The description, although brief, suggests a core technical role involving AI within a specific engineering domain.

AI Engineer - Wireless Systems Analysis , Wireless Technologies & Ecosystems (m/f/d) #200662805 Ingenieur/in - Elektrotechnik


Field CTO - AI & Enterprise Modernization

Agentic AI
AI-driven business operations
Process Intelligence
Data Architecture
Cloud-native SaaS
AI innovation

Die Rolle beinhaltet direkte Arbeit mit Agentic AI, Prozessintelligenz und Innovation in AI-getriebenen Geschäftsprozessen. Der Field CTO ist verantwortlich für die Entwicklung skalierbarer technischer Strategien, die auf fortschrittliche KI-Fähigkeiten abzielen, und agiert als technischer Berater für C-Level-Exekutive. Die Anforderungen beinhalten tiefes Verständnis von Agentic AI und Innovation in KI-Technologien.


Agentic AI
AI-driven business operations
Process Intelligence
Data Architecture
Cloud-native SaaS

Die Rolle beinhaltet die Entwicklung und Architektur von 'first-of-a-kind' Lösungen mit Agentic AI, die Beratung zu AI-gestützten Geschäftsprozessen und die Einbindung von KI in strategische Roadmaps. Der Fokus auf Prozessintelligenz und die Nutzung von AI als zentralem Technologiepfeiler qualifiziert dies als KI-kernbehaftete Rolle.


Lead Consultant - Public Sector

Process Intelligence, AI-Driven Business Operations

Machine Learning
Process Mining
Data Modeling
SQL
Task Mining
Data Analysis
Big Data
Process Automation

Die Rolle beinhaltet die Entwicklung datengetriebener Prozessanalysen, die Nutzung von Machine Learning-Algorithmen und Task Mining, sowie die Arbeit mit der Process Intelligence Graph-Technologie. KI ist ein zentraler Bestandteil der Aufgaben und wird aktiv genutzt, um Geschäftsprozesse zu optimieren.


Working Student Applied AI Solution Consulting (Nordics)

Process Mining, AI-Driven Business Solutions

AI
Process Intelligence
Data Modeling
LLMs
OpenAI
Data Analytics
SQL
Python

Die Rolle beinhaltet die Nutzung von AI-Kapazitäten, insbesondere im Bereich Process Intelligence, um Geschäftsprozesse zu analysieren, Einsichten zu generieren und datengetriebene Wertangebote zu liefern. Die Aufgaben umfassen die Arbeit mit KI-Modellen, die Erstellung von Use Cases und die Präsentation von AI-Wertangeboten an Entscheidungsträger. Die KI ist ein zentraler Bestandteil der Rolle.


Engineering Manager, Global Public Sector

Generative AI, AI applications, LLMs, AI infrastructure

AI application development
LLM training data generation
AI agents
evaluation tooling
automation
GenAI platform engineering

The role is centered around building and managing AI-driven applications for public sector clients, specifically involving AI agents, evaluation tooling, automation, and the Scale Generative AI Platform. The company's mission and core work explicitly involve AI and LLMs, and the engineering efforts are directly tied to AI development and deployment.

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of th…


[Annotations] Operations Program Manager

Maschinelles Lernen
Datenannotation
Datenqualität
Prozessoptimierung
Datenpipeline-Management

Die Rolle befasst sich direkt mit der Erstellung von Trainingsdaten für maschinelles Lernen in Robotik-Systemen, was einen überwiegenden Kernbezug zu KI darstellt. Die Aufgaben umfassen die Gestaltung und Ausführung von Prozessen, die hochwertige Daten liefern, die für KI-Modelle entscheidend sind.

Scale AI sits at the forefront of enabling machine learning for advanced robotics systems. As an Operations Program Manager focused on data creation for robotics models, you will design and execute the solutions, tools, and processes that power high-quality training data at scale. You’ll ensure precise, timely delivery of datasets that drive perception, manipulation, and autonomous decision-making in robotic platforms. With rapid growth, new customer onboarding, and continual product innovation, we face both strategic questions and hands-on operational…


Associate Applied AI Engineer (France) - Orbit Program

Applied AI, Process Intelligence, Machine Learning, LLM

Machine Learning
LLM
AI-Strategie
AI-Lösungen
Data Science
Process Mining
Python
SQL

Die Rolle des Associate Applied AI Engineers beinhaltet die Entwicklung und Prototypisierung von AI-Lösungen, einschließlich traditioneller ML und LLM-basierter Technologien. Die Aufgaben umfassen die Umsetzung von AI-Strategien, die Erstellung von Proof-of-Concepts und die Zusammenarbeit mit Kunden, um Geschäftsprobleme mit KI zu lösen. Die KI ist ein zentraler Bestandteil der Rolle.


Die Rolle des Associate Applied AI Engineers beinhaltet die Entwicklung und Prototypisierung von AI-Lösungen, einschließlich traditioneller ML und LLM-basierter Technologien. Die Aufgaben umfassen die Umsetzung von AI-Strategien für Kunden, die Erstellung von Proof-of-Concepts und die Zusammenarbeit mit internen Produktteams, um AI-Innovationen mitzuentwickeln. KI ist ein zentraler Bestandteil der Rolle.


Applied Value Engineer

Generative AI, Process Intelligence, AI Agents

Generative AI
RAG
multi-agent orchestration
prompt engineering
Python
LangChain
PyTorch
LLM implementation
agentic systems
MLOps

Die Rolle beinhaltet direkte Arbeit mit Generative AI-Techniken (RAG, Agenten, Prompt Engineering), Prototyping von LLM-basierten Lösungen, und die Entwicklung agenterbasierter Prozess-Transformationen. Die Aufgaben sind stark auf die Implementierung und Demonstration von AI-Lösungen ausgerichtet, insbesondere im Kontext von Prozessintelligenz.


Workday Integration & Automation Sr. Engineer

AI-driven automation, integration, and process intelligence

AI Automation
LLM-based agents
AI-driven workflows
AI applications
MLOps (implizit)

Die Rolle beinhaltet die Entwicklung und Implementierung skalierbarer AI-Automatisierungsworkflows, die explizit als 'AI-driven automation' bezeichnet werden. Der Kandidat soll AI-Anwendungen evaluieren, LLM-basierte Agenten einsetzen und AI-gestützte Lösungen zur Optimierung von Geschäftsprozessen entwickeln. Celonis ist ein Prozess-Mining-Unternehmen mit starkem Fokus auf KI, und die Rolle ist direkt damit verbunden.


Principal Consultant - AI Governance

AI Governance, Process Intelligence, Machine Learning

AI Governance
Machine Learning
Artificial Intelligence
Process Mining
Data Modeling
SQL
Big Data
Process Automation

Die Rolle beinhaltet die Entwicklung und Implementierung von AI Governance-Strategien, die Nutzung von AI/ML-Techniken, und die Beratung von C-Level-Entscheidungsträgern zu regulatorischen Themen im Zusammenhang mit KI. Zudem wird aktiv mit KI-Technologien gearbeitet, um Prozesse zu optimieren und Governance-Lösungen zu implementieren.


Senior Integration & Automation Engineer

AI Automation
LLM-based agents
AI-driven workflows
AI applications
AI tool evaluation

Die Rolle beinhaltet die Entwicklung und Implementierung skalierbarer AI-Automatisierungsworkflows, die konkrete AI-Anwendungen (einschließlich LLM-basierter Agenten) einsetzen, um Geschäftsprobleme zu lösen. Die Aufgaben umfassen die Bewertung von AI-Tools, die Entwicklung von Proof-of-Concepts und die Integration von AI in Prozesse. KI ist ein überwiegender und zentraler Bestandteil der Rolle.


L2 Senior Technical Support Engineer

AI in Technical Support, AI Automation, Generative AI

AI Workflow Automation
AI Modeling
Prompt Engineering
AI Troubleshooting
AI SME (Subject Matter Expert)

Die Rolle beinhaltet direkte und überwiegende Arbeit mit AI-Modellen, Prompt Engineering, AI Automatisierung und AI-Workflow-Optimierung. Der Support Engineer ist als AI SME verantwortlich und nutzt KI aktiv, um Support-Prozesse zu verbessern und den MTTR zu reduzieren. Die Anforderungen beinhalten spezifische AI-Kenntnisse und -Erfahrungen.


Applied Value Engineer

AI/ML, Process Intelligence, Generative AI, LLMs

LLM orchestration
RAG (Retrieval-Augmented Generation)
Prompt engineering
Function calling
AI safety and guardrails
Agentic systems
Process Intelligence
AI/ML integration

Die Rolle beinhaltet direkte Arbeit mit AI/ML-Technologien, insbesondere LLMs und agentenbasierte Systeme, um Geschäftsprozesse zu transformieren. Der Kern der Rolle ist die Entwicklung und Implementierung von AI-basierten Lösungen in Kombination mit dem Celonis Process Intelligence Graph. Die Aufgaben umfassen Prototyping, PoV-Projekte, und die Skalierung von AI-Lösungen, was einen überwiegenden technischen und konzeptionellen KI-Bezug zeigt.


Technical Program Manager, Robotics Data

Robotics Data, AI/ML, Computer Vision, Large Language Models

AI/ML
Data Ingestion Pipelines
Data Quality & Governance
Computer Vision
Vision-Language-Action Models
SQL
Data-Driven Communication

Die Rolle des Technical Program Managers ist stark in der Robotics Data-Abteilung verankert, die eng mit AI/ML, Computer Vision und Vision-Language-Action (VLA) Modellen verbunden ist. Die Aufgaben beinhalten die Architektur skalierbarer Datenpipelines, die Sicherstellung von Datenqualität und Governance sowie die Übersetzung von AI-Forschungszielen in ausführbare Workflows. Die Anforderungen beinhalten ein tiefes Verständnis von AI/ML und die Erfahrung in komplexen, technischen Programmen, was auf einen überwiegenden KI-bezogenen Kern hindeutet.

Scale’s Robotics business unit is currently seeing historic levels of growth. As a Technical Program Manager (TPM) for Robotics Data , you will be the connective tissue across our most complex technical operations, driving initiatives that secure $XXM+ in new revenue. This isn't a "sit back and watch" project management role. You will work with multiple project leads across a vast portfolio of robotics data projects, ensuring technical milestones are met, dependencies are de-risked, and stakeholders are aligned. You should be prepared to wear many hats…


Platform Manager

Process Intelligence, Enterprise AI, Data Science

Agentic AI
Machine Learning
Process Mining
Data Engineering
AI Innovation

Die Rolle des Platform Managers umfasst klare Verantwortung für die Architektur und Implementierung von AI-Technologien wie Agentic AI und Machine Learning. Die Integration von KI in Geschäftsprozesse (z. B. Process Intelligence Graph) ist ein zentraler Bestandteil der Rolle. Zudem ist die Einbindung in MLOps, Data Pipelines und die Weiterentwicklung von KI-gestützten Lösungen entscheidend.


Heilbronn, Neckar, Baden-Württemberg, Deutschland

MLOps
DevOps
Computer Vision
AI-Modell-Deployment
CI/CD für ML

Der Jobtitel und die Beschreibung beziehen sich explizit auf MLOps im Kontext von AI (Computer Vision), was auf eine technisch tiefgehende und zentrale Arbeit mit KI-Modellen hindeutet.

Senior MLOps / DevOps Engineer AI (Computer Vision) (m/w/d) DevOps Engineer


MLOps
DevOps
Computer Vision
AI-Modell-Deployment
CI/CD für ML-Modelle

Der Jobtitel und die Beschreibung beziehen sich direkt auf MLOps im Kontext von AI, insbesondere Computer Vision. Die Rolle umfasst wahrscheinlich die Entwicklung, Deployment und Skalierung von ML-Modellen, was als überwiegend KI-relevante Arbeit gilt.

Senior MLOps / DevOps Engineer AI (Computer Vision) (m/w/d) IT-Systemadministrator/in


Engagement Manager (Homeland Layered Defense), Public Sector

Public Sector AI, Defense, Government Use Cases

agentic AI
ML operations
computer vision
generative AI
AI systeme
analytical problem-solving

Die Rolle beinhaltet die Entwicklung und Lieferung von agentic AI-Lösungen, die eng mit ML-Systemen, computer vision und generativer AI verbunden sind. Der Fokus liegt auf der Umsetzung komplexer AI-Systeme für spezifische Regierungsanwendungen, was einen überwiegenden technischen KI-Bezug zeigt.

Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal o…


ソリューションアーキテクト (プリセールス)

Data Intelligence Platform, Machine Learning, Big Data Analytics

Data Engineering
Machine Learning
AI
Big Data
Apache Spark
Delta Lake
MLflow
SQL
Python
Numpy
Pandas
Data Analytics

Die Rolle des Pre-Sales Solution Architects bei Databricks ist stark auf die technische Unterstützung und Beratung bei der Nutzung der Databricks Data Intelligence Platform ausgerichtet, die KI, Machine Learning und Big Data umfasst. Die Aufgaben beinhalten die Gestaltung von Lösungen für Data Science, Analytics und Machine Learning, sowie die Integration und Optimierung von AI-Plattformen in Kundenunternehmen. Die erforderlichen und wünschenswerten Fähigkeiten umfassen KI-relevante Technologien wie Apache Spark, MLflow, und Data Science-Tools.

FEQ227R42 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、 X 、 LinkedIn 、 Facebook でDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォ…


Data Engineering
Data Science
MLOps
Apache Spark
Cloud Computing
Big Data Architecture
AI Platform Implementation

Die Rolle beinhaltet umfassende Arbeit an Data & AI Plattformen, einschließlich Data Engineering, Data Science, MLOps und der Entwicklung von Big Data- und AI-Anwendungen. Der Fokus liegt auf der Implementierung und Optimierung von AI-Plattformen wie Databricks, was einen überwiegenden technischen Kern in KI/AI darstellt.

CSQ327R46 We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership. As a Data & AI Platform Architect (Professional Services) (Internal Title - Resident Sol…


Delivery Solutions Architect

Data Intelligence, AI/ML, Lakehouse Architecture

Data and AI
Distributed data systems
Technical architecture
Solution architecture
Python
SQL
Scala
MLOps
Data Intelligence
Lakehouse
MLflow

Die Rolle des Delivery Solutions Architects bei Databricks ist stark auf die technische Umsetzung und Beratung zu Data- und AI-Plattformen ausgerichtet. Der Kandidat ist für die technische Führung bei Use Cases verantwortlich, die auf Databricks' Data Intelligence Plattform basieren, was eng mit KI, Machine Learning und Data Science verbunden ist. Die Erfahrung im Bereich Data and AI ist explizit gefordert, und die Rolle beinhaltet die Arbeit mit Produkten wie Lakehouse, Delta Lake und MLflow.

CSQ327R31 At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage…


Delivery Solutions Architect

Data Intelligence Platform, AI, Machine Learning, Lakehouse, Delta Lake, MLflow

Data and AI
Distributed data systems
Technical architecture
Python
SQL
Scala
Solution architecture
Customer success
Technical project delivery

Die Rolle des Delivery Solutions Architects bei Databricks ist stark mit KI, Data Science und Machine Learning verbunden, da Databricks ein führendes Data- und AI-Unternehmen ist. Der Job beinhaltet die technische Führung bei der Nutzung des Databricks-Plattform-Ökosystems, das auf Data Intelligence, AI und Machine Learning basiert. Die Erfahrung im Bereich Data und AI ist explizit gefordert, und die Rolle ist eng mit der Umsetzung von Use Cases im Zusammenhang mit AI und Data Science verbunden.

CSQ327R30 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to…


Delivery Solutions Architect

Data and AI
Spark
Python
Distributed data systems
Solution architecture
Technical program management

Die Rolle des Delivery Solutions Architects bei Databricks ist stark auf die technische und strategische Unterstützung von Data- und AI-Use-Cases ausgerichtet. Der Kandidat ist verantwortlich für die Umsetzung komplexer Use-Cases im Bereich Data Intelligence, die Nutzung von Databricks-Plattformen für AI/ML, und die Zusammenarbeit mit Engineering-Teams für Innovationen. Die Erfahrung im Bereich Data and AI ist explizit gefordert, und die Rolle ist eng mit der Databricks Lakehouse Vision und ML-Technologien wie Apache Spark verknüpft.

CSQ427R104 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to…


Delivery Solutions Architect

Die Rolle des Delivery Solutions Architects bei Databricks ist stark auf die technische Umsetzung und Beratung zu Data- und AI-Lösungen ausgerichtet. Der Kandidat ist für die technische Führung bei komplexen Kundenprojekten verantwortlich, die auf dem Databricks Data Intelligence Platform basieren, was eng mit AI/ML-Technologien wie Apache Spark, Delta Lake und MLflow verbunden ist. Die Erfahrung im Bereich Data and AI ist explizit gefordert, und die Rolle umfasst die Umsetzung von Use Cases, die auf AI und Data Science basieren.

CSQ427R31 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to…


Delivery Solutions Architect

Data Science
Machine Learning
AI
Databricks
Spark
Python
Distributed Systems
Solution Architecture

Die Rolle des Delivery Solutions Architects bei Databricks ist stark auf die technische Umsetzung und Beratung zu Data- und AI-Plattformen ausgerichtet. Der Kandidat ist für die technische Führung bei komplexen Kundenprojekten verantwortlich, die Nutzung von Databricks-Plattformen, und die Umsetzung von Use Cases im Bereich Data und AI. Die Erfahrung im Bereich Data und AI ist explizit gefordert, und die Rolle ist eng mit der Databricks Lakehouse Vision und ML-Technologien verknüpft.

FEQ327R184 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to…


Delivery Solutions Architect

Data Intelligence, AI Platform Adoption, Lakehouse Architecture

Data Science
AI
Machine Learning
Distributed Data Systems
Solution Architecture
Technical Leadership
Customer Success
Technical Program Management

Die Rolle des Delivery Solutions Architects bei Databricks ist stark auf die technische und strategische Unterstützung von Kunden bei der Nutzung des Databricks Data Intelligence Platforms ausgerichtet, die eng mit Data Science, AI und Machine Learning verbunden ist. Die Aufgaben beinhalten die Führung von Use Cases, die Optimierung von AI/ML-Workloads, die Zusammenarbeit mit Engineering-Teams und die Entwicklung von Strategien für die Adoption von AI-Technologien. Die Erfahrung im Bereich Data und AI ist explizit gefordert.

CSQ427R20 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to…


Delivery Solutions Architect

Data Architecture
Data Engineering
Data Science
AI Solutions Design
MLOps
Analytics Systems
Solution Architecture

Die Rolle des Delivery Solutions Architects bei Databricks beinhaltet die Gestaltung, Implementierung und Skalierung von Daten- und KI-Lösungen. Der Fokus liegt auf Architektur, Operational Excellence und KI/Analytics, wobei der Job explizit AI-challenge-basierte Lösungen in den Mittelpunkt stellt. Die technischen Anforderungen und die Verantwortung für KI-Use-Cases qualifizieren dies als einen Kern-KI-Job.

CSQ227R26 Remote, Italy At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our s…


Delivery Solutions Architect

Data and AI
Distributed data systems
Technical architecture
Solution architecture
Python
SQL
Scala
Project management
Customer success
Consulting

Die Rolle des Delivery Solutions Architects bei Databricks ist stark in der Data- und AI-Expertise verankert. Der Kandidat ist für die technische Führung bei der Nutzung des Databricks-Data-Intelligence-Plattforms verantwortlich, was auf AI/ML/Data Science basiert. Die Erfahrung im Bereich Data and AI ist explizit gefordert, und die Rolle umfasst die Unterstützung bei der Umsetzung komplexer Use Cases, die auf AI/ML-Technologien basieren.

CSQ327R17 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to…


Delivery Solutions Architect

Die Rolle des Delivery Solutions Architects bei Databricks ist stark auf die Implementierung und Nutzung des Databricks Data Intelligence Platforms ausgerichtet, die eng mit Data Science, AI und Machine Learning verbunden ist. Der Kandidat ist für die technische Führung bei Use Cases verantwortlich, die auf Databricks basieren, und muss Erfahrung im Bereich Data and AI haben. Die Rolle ist daher als CORE_AI_JOB einzustufen.

FEQ227R178 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to…


Delivery Solutions Architect - Digital Native Business

Data and AI
Distributed data systems
Technical architecture
Python
SQL
Scala
Solution architecture
Customer success
MLOps
Data Intelligence Platform

Die Rolle des Delivery Solutions Architects bei Databricks ist stark auf die technische und strategische Nutzung des Databricks Data Intelligence Platforms ausgerichtet, insbesondere im Bereich Data und AI. Die Aufgaben beinhalten die technische Führung bei komplexen Kunden, die Entwicklung von Use Cases, die Nutzung von Lakehouse-Technologien und die Zusammenarbeit mit Engineering-Teams. Die Anforderungen beinhalten Erfahrung im Data- und AI-Bereich, Programmierkenntnisse und ein tiefes Verständnis für verteilte Datenarchitekturen.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate…


Die Rolle des Delivery Solutions Architects bei Databricks ist stark auf die technische und strategische Nutzung des Databricks Data Intelligence Platforms ausgerichtet, insbesondere im Bereich Data und AI. Die Aufgaben beinhalten die technische Führung bei komplexen Kunden, die Nutzung von AI/ML-Workloads, die Zusammenarbeit mit Engineering-Teams und die Entwicklung von Strategien für die Adoption von AI-Technologien. Die Anforderungen beinhalten Erfahrung im Data- und AI-Bereich, Programmierkenntnisse und ein tiefes Verständnis für verteilte Datenarchitekturen.


Delivery Solutions Architect - High-Tech & Manufacturing

Data and AI, Machine Learning, Data Engineering

Data and AI
Distributed data systems
Technical architecture
Solution design
Python
SQL
Scala

Die Rolle des Delivery Solutions Architects bei Databricks ist stark auf Data- und AI-Use-Cases ausgerichtet. Der Kandidat ist verantwortlich für die technische Führung bei der Umsetzung von Databricks-Workloads, die primär auf Data Intelligence und AI basieren. Die Erfahrung im Bereich Data und AI ist explizit gefordert, und die Rolle beinhaltet die Entwicklung und Umsetzung von Lösungen, die auf Databricks' Lakehouse-Vision und AI-Produkten basieren.

P-358 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelera…


Delivery Solutions Architect - Public Sector

Data Intelligence, AI Platform Adoption, Technical Account Management

Data and AI
Distributed data systems
Technical architecture
Python
SQL
Scala

Die Rolle beinhaltet die technische Führung bei der Implementierung von Databricks-Plattformlösungen, die stark auf Data Intelligence und AI basieren. Der Kandidat muss Erfahrung im Bereich Data und AI haben und komplexe Use Cases in diesen Bereichen managen. Die Rolle ist stark mit der Lieferung und Optimierung von AI/Data-Workloads verbunden.

CSQ426R15 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by u…


Der Job beinhaltet umfassende technische Verantwortung im Bereich Data und AI, mit Fokus auf die Nutzung und Optimierung des Databricks Data Intelligence Platforms. Die Rolle erfordert Erfahrung in der technischen Projekt- und Programmlieferung im Data- und AI-Bereich sowie ein tiefes Verständnis für Lösungsarchitektur in verteilten Daten-Systemen. KI/AI ist ein überwiegender Kern der Rolle.


Applied Data Scientist, Unit Economics Understanding

Causal inference
Predictive analytics
LTV modeling
Statistical modeling
ML predictive models
Data science
Python
SQL

Die Rolle beinhaltet die Entwicklung von kausalen Inferenz- und Vorhersagemodellen, LTV-Modellen sowie skalierbaren analytischen Frameworks, die tief in Data Science und statistische Modellierung eingebettet sind. Die Aufgaben sind stark auf quantitative Analyse und Modellierung ausgerichtet, was den Kerninhalt der Rolle darstellt.

About the Role This role focuses on building the strategic unit economics understanding of OpenAI, guiding sustainable growth to make it the most impactful company of our generation and beyond. You will lead the development of foundational causal inference and data science models and frameworks to predict and quantify the drivers of customer lifetime value (LTV), translating deep data insights into strategic decisions and growth levers. The role requires both technical depth and executive-level communication. This position is based in our San Francisco…