your role
will focus on contributing to 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
- Support the design and training of ML models on large-scale clinical datasets
- Assist with the integration of AI-powered solutions (LLMs, ASR, RAG, Embeddings, and more) into real medical workflows
- Support the evaluation, benchmarking, and fine-tuning of existing models for clinical use cases
- Explore Federated Machine Learning frameworks for privacy-preserving model training
- Collaborate with leading academic and research institutions
- Contribute to the reliability, performance, and quality of AI features in production
- Leverage access to high-performance computing infrastructure to build robust ML pipelines
YOUR
QUALIFICATIONS
- Currently enrolled in Informatics, Computer Science, or a related field
- Strong coding background, especially in Python
- Exposure to ML frameworks such as PyTorch, HuggingFace, LangChain, or Pydantic, including LLMs, ASR models, or RAG pipelines with vector databases (e.g. Qdrant)
- Genuine interest in new technologies and their application to real-world challenges
- Fluency in English, German is a plus
NICE TO HAVE
- GitHub contributions
- Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g. Speech Recognition or NLP)
YOUR
the opportunity
to take ownership
- Flexible working hours
- Support for your personal development through continuous learning and feedback and high chances to transition into a full-time role if the collaboration is successful
- An international, informal team structure in a motivating start-up atmosphere, allowing you to participate directly in our customer growth story and the overall success of Avelios
- Ability to gain valuable hands-on experience in a startup backed by leading international VCs
- A monthly meal allowance up to 75 euros, and Corporate