Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m)
Core
Principal ML Engineer defining cross-team AI architecture, evaluation frameworks, and agentic solutions for clinical and productivity AI at Doctolib.
Role type
Principal Machine Learning Engineer (Applied AI & LLMs)
Builds
Agentic AI solutions, standardized ML evaluation frameworks, shared production infrastructure for model/prompt versioning and guardrails
Domain
Healthcare / Applied AI / LLMs / NLP / ASR
Deliverable
production ML models
Required skills
ML/AI strategy, cross-team architecture design, ML evaluation framework design, agentic solution design, Python, PyTorch, Transformers, vLLM, AWS/GCP production deployment, stakeholder alignment
Preferred skills
Clinical NLP, LLM fine-tuning, automatic speech recognition, RAG systems, reinforcement learning, EU healthcare regulations (GDPR, MDR, AI Act), clinical data experience
Technologies
Python, PyTorch, Transformers, vLLM, AWS, GCP
Responsibilities
Own cross-team ML architecture decisions, define and drive adoption of rigorous evaluation frameworks, establish shared production infrastructure patterns, lead technical design of agentic solutions, elevate technical standards via architecture reviews, partner with Product/Legal/Compliance for safe rollout
Seniority
Principal, hands-on IC with strategy & mentorship
