Machine Learning Engineer (all genders)

THE TEAM AND ROLE

As a Machine Learning Engineer (all genders), you will drive the integration of intelligent systems into real-world clinical environments. Collaborating with our interdisciplinary development teams, your role will focus on bringing state-of-the-art models (LLMs, ASR, and more), into production and embedding them directly into Avelios software to improve everyday medical workflows. This is a unique opportunity to shape how AI transforms the way clinicians work.

YOUR RESPONSIBILITIES

• 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

YOUR QUALIFICATIONS

• Degree in Informatics, Computer Science, or a related field - or equivalent practical experience
• Strong coding background - GitHub contributions are a plus
• Hands-on experience deploying ML systems to production using PyTorch, LangChain, and Pydantic, including LLMs, ASR models, and RAG pipelines with vector databases (e.g., Qdrant).
• Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g., Speech Recognition or NLP) is a plus
• Interest in new technologies and their application to real-world challenges
• Fluency in English, German is a plus