Intern Machine Learning (all genders)
Core
Support the integration of intelligent systems (LLMs, ASR, RAG) into real-world clinical environments to improve medical workflows.
Role type
Intern Machine Learning Engineer
Builds
AI-powered features embedded in Avelios software for hospitals and clinicians
Domain
Healthcare / Clinical AI
Deliverable
production ML models
Required skills
Python, PyTorch, HuggingFace, LangChain, RAG pipelines, vector databases (Qdrant), Federated Machine Learning
Preferred skills
GitHub contributions, publications at top conferences, applied ML results in Speech Recognition or NLP
Technologies
Python, PyTorch, HuggingFace, LangChain, Pydantic, Qdrant
Responsibilities
Collaborate with core development team to bring ML into production; Support design and training of ML models on large-scale clinical datasets; Assist with integration of AI solutions into medical workflows; Support evaluation, benchmarking, and fine-tuning of models; Explore Federated Machine Learning frameworks; Collaborate with academic and research institutions; Contribute to reliability and performance of AI features; Leverage high-performance computing infrastructure to build ML pipelines
Seniority
Intern