Machine Learning Engineer (all genders)
Avelios Medical, Munich
What you will do
- Collaborate with our core development team to bring machine learning into production
- Design and train ML models on large-scale clinical datasets
- Integrate AI-powered solutions (LLMs, ASR, RAG, Embedding, and more in the future) into real medical workflows
- Evaluate, benchmark, and fine-tune existing models to fit clinical use cases
- Work with Federated Machine Learning frameworks for privacy-preserving model training
- Collaborate with leading academic and research institutions
- Own the reliability, performance, and quality of AI features in production
- Leverage access to high-performance computing infrastructure to build robust ML pipelines
What you need
- Degree in Informatics, Computer Science, or a related field - or equivalent practical experience
- Strong coding background