Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m)
Core
Build and lead AI/ML systems to improve patient care access and management, including search, retrieval, personalized pathways, and agentic AI.
Role type
Senior Machine Learning Engineer (Applied AI & LLMs)
Builds
Intelligent patient-facing solutions (search, retrieval, care pathways) and agentic AI systems for Doctolib's Patient Solutions.
Domain
Healthcare / AI & Machine Learning
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Information Retrieval, Hybrid Search, Embeddings, Vector Databases, LLM Fine-tuning, VLM, Agentic AI, Prompt Engineering, Experimentation, Production Deployment
Preferred skills
Knowledge Distillation, Mixture-of-Experts (MoE), MCP-based integrations, ADK, W&B, MLFlow, Braintrust
Technologies
LiteLLM, Model Garden, ADK, W&B, MLFlow, Braintrust
Responsibilities
Design and implement ML/AI solutions for search and personalized care; Build and maintain large-scale retrieval pipelines (hybrid search, re-ranking); Develop and evaluate LLM/VLM models; Build and orchestrate agentic AI systems; Define metrics and run controlled experiments; Deploy solutions to production.
Seniority
Senior, hands-on IC
