Working Student Machine Learning (all genders)

ABOUT US

Our mission at Avelios is to unlock clinical data to power seamless healthcare operations for better patient care. To do so, we have built a modular software platform that digitizes and optimizes workflows in hospitals with cutting-edge technology in a user-friendly way. With our software, we enable hospitals, doctors & nurses to provide their patients with the best possible care.
We are growing fast and want to keep expanding our team and business to fundamentally digitize healthcare for the better. We appreciate different backgrounds and see diversity as one of our strengths.

THE TEAM AND ROLE

As a Working Student Machine Learning (all genders), you will support the integration of intelligent systems into real-world clinical environments. Collaborating with our interdisciplinary development teams, 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)