Machine Learning Engineer | Manufacturing Sector | GenAI & ML | Bielefeld (Hybrid)
AI Futures have been exclusively retained to appoint a Machine Learning Engineer for a leading manufacturing and industrial solutions provider based in Bielefeld. This is a hands-on technical position with full project ownership, combining deep machine learning expertise with exposure to client interaction, implementation leadership, and modern GenAI tooling.
You’ll be part of a forward-thinking team delivering scalable AI systems that solve complex, real-world challenges across industrial automation and production.
Hybrid: 2 days per week onsite in Bielefeld
Remuneration: Up to €120k total package
The Role
* Design and implement ML and GenAI solutions focused on NLP, LLMs, and intelligent automation
* Translate technical and operational requirements into scalable, production-grade models
* Build end-to-end ML pipelines and prototypes using Python, SQL, and modern frameworks
* Lead implementation projects across the full lifecycle, from concept through to go-live
* Interface directly with clients, supporting technical scoping and solution delivery
* Contribute to MLOps workflows and drive performance improvements across deployed models
The Candidate
* 2+ years of experience in applied Machine Learning, Deep Learning, or AI software engineering
* Strong understanding of GenAI and LLM frameworks such as Hugging Face, RAG, or transformers
* Proficient in Python and libraries like scikit-learn, LangChain, or PyTorch
* Experience with cloud environments (AWS, Azure) and container technologies (Docker, Kubernetes)
* Ability to collaborate in agile, cross-functional teams across product and operations
* Languages: German (English a Bonus)
AI Futures Ltd | Filling the AI Skills Gap
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