Machine Learning Intern

About the Company

Avelios is on a mission to unlock clinical data to power seamless healthcare operations for better patient care. We have built a modular software platform that digitizes and optimizes workflows in hospitals using cutting-edge technology.

Responsibilities

• Collaborate with the 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 like LLMs, ASR, RAG, and Embeddings into 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 high-performance computing infrastructure to build robust ML pipelines

Requirements

• Currently enrolled in Informatics, Computer Science, or a related field
• Strong coding background in Python
• Exposure to ML frameworks such as PyTorch, HuggingFace, LangChain, or Pydantic
• Experience with LLMs, ASR models, or RAG pipelines with vector databases (e.g. Qdrant)
• Fluency in English

Preferred Qualifications

• German language skills
• GitHub contributions
• Publications at top conferences or demonstrated results in applied ML (Speech Recognition or NLP)

Benefits

• Variety in tasks and ownership opportunities
• Flexible working hours
• High chances to transition into a full-time role
• International, informal startup atmosphere
• Monthly meal allowance up to 75 euros
• Corporate Benefits discounts