Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
This role is for engineers who care about velocity and solving real customer problems.
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
As a Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering pract
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.
To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine le
Entwirft und baut KI-gestützte Workflows mit LLMs und RAG, die Fachbereiche wie Finanzen und Vertrieb automatisieren, und verbindet dafür interne Systeme per API.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
Ship merged PRs. Add and improve SearchApi support in the frameworks and repos developers actually use.
on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
Executive partnership - Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership.
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt KI-Modelle in Produktion und überwacht Modell- sowie Infrastrukturleistung.
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
Entwickelt Fine-Tuning- und Post-Training-Pipelines sowie Inferenzbeschleunigungsverfahren für große Modelle und optimiert sie auf eigener Hardware.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
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.
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