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Machine Learning Engineer (m/f/d)

Data Space Solutions Gmbh

Remote Remote permanent

Posted: February 4, 2026

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Quick Summary

Design and build AI agents that run in production environments, working with a culturally diverse team in a remote setting.

Job Description

About Us:
We’re DASS-X, a 100% BASF subsidiary working at the intersection of the automotive and chemical industries. We’re looking for a Machine Learning Engineer to join our team and work on real AI systems used in production environments.
 We’re a culturally diverse team, English is our working language, and we value thoughtful collaboration, curiosity, and building things that actually work.


Your tasks:
You’ll work as part of a team designing and building AI agents that run in real systems — not demos or research prototypes. The work spans the full lifecycle of these systems: data handling, model and agent design, orchestration, testing, deployment, and operation.
You’ll collaborate closely with other engineers and ML practitioners. This is a team environment where problems are discussed openly, ideas are shared, and solutions are built together. You’ll have space to experiment, but also responsibility for turning ideas into robust, maintainable systems.


Your profile:
There’s no rigid checklist. If you’re comfortable with Python and interested in building applied machine learning and agent-based systems, that’s a solid foundation. What matters most is curiosity, a willingness to dig into complex problems, and the ability to work well with others.
It’s helpful if you’re interested in how large language models behave inside agent setups — how prompting choices influence outcomes, how tool calls are triggered and handled, and how routing or decision logic shapes system behavior.
 
Experience that’s useful here
• Agent-based systems (LangGraph)
• Vector stores and retrieval systems (e.g. Cosmos DB)
• Working with foundation models and platforms such as Azure OpenAI, Gemini/Vertex AI
• Git and collaborative development workflows
• CI/CD pipelines and production deployments
• Cloud platforms, particularly Azure

Familiarity with concepts such as agent-to-agent communication (A2A) and the Model Context Protocol (MCP) is considered an advantage.


Why us?:
• Be part of an innovative, newly founded company that is shaping the future of digital ecosystems
• Work in a fast-growing, tech-driven environment within a globally trusted BASF Group company
• Opportunity to collaborate with top-tier clients in the automotive, chemical, and manufacturing industries
• A supportive, flexible, and inclusive workplace that values professional development
• 100% remote work within Germany (primary residence in Germany is mandatory)
• 25% of the Deutschlandticket will be sponsored in form of a jobticket


Interested?:
If you’ve worked on AI-related projects — professionally, at university, or on your own — feel free to share them. A GitHub repository is ideal, and a ZIP file works as well. Seeing how you approach problems is more important than perfectly polished material.

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