Senior Data Scientist (m/f/d)
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Entwickelt das Agents Kit, ein Mendix-SDK für Agenten und agentische Anwendungen, und arbeitet dazu mit Early-Adopter-Kunden in München.
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Wir schreiben dir, sobald eine neue geprüfte Stelle in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
Baut die Sicherheitsschicht für autonome Agenten: Isolation, nachvollziehbare Ausführung, manipulationssichere Events und abgesicherte CI/CD-Pipeline.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
Advise on AI trust and governance.
Führt Kundenprojekte in Automotive, Luftfahrt und Energie durch und entwickelt ML- und Deep-Learning-Lösungen für Engineering-Daten.
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
You’ll take the lead in building the data intelligence dimension of Agileday’s AI product.
Entwickelt Echtzeit-C++-Perception-Komponenten für autonome Drohnen: Tracking, Zustandsschätzung und Integration neuronaler Detektoren.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
Join our GPU simulation team and build the simulator that trains our reinforcement-learning agents for air autonomy.
Policy Development: Design, train, and evaluate vision- and language-conditioned robot policies using approaches such as imitation learning,
System Architecture: Own how collection, generation, augmentation, annotation, valuation, and evaluation fit together as one coherent data-t
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement - Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability - Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes - Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints - Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems What you’ll need - Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field - 5+ years of experience building and owning production ML systems end-to-end in a real-world environment - Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production - Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale - Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations - Ability to influence technical decisions through clear judgment and collaboration, not formal authority - Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback - Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery WHY Autoscout24 A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.
For a career where you can drive our business and shape your future, apply now.
A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it.
We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.
As Senior Data Scientist, you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada. You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models.
While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Munich.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige133 geprüfte Stellen bei 83 Arbeitgebern, 10 davon ortsunabhängig. 76 in der KI-Entwicklung, 34 in Integration & Automatisierung.