Doctolib
Healthcare
SeniorMachineLearningEngineer-AppliedAI&LLMs(x/f/m)
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“Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m) at Doctolib. Skills: Machine Learning, AI, LLMs, Information Retrieval. Design ML and AI solutions. Build retrieval pipelines”
What You'll Achieve.
Improve access to quality care; Manage health over time; Create measurable impact; Scale AI capabilities
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
7+ years of experience in ML, Deep Learning, or AI Engineering, Experience in Information Retrieval and modern retrieval stacks, Proficient in LLM and VLM application development, Hands-on experience building and orchestrating agentic AI systems, Experience operating large-scale applications in production, Fluent in English
Nice to Have
Experience in B2C marketplace environments, Experience in other ML methodologies
What You'll Do.
Design ML and AI solutions
Build retrieval pipelines
Maintain retrieval pipelines
Develop LLM and VLM models
Fine-tune LLM and VLM models
Evaluate LLM and VLM models
Build agentic AI systems
Integrate external data
Integrate external capabilities
Run controlled experiments
Deploy solutions to production
Ensure performance at scale
Act as technical reference
How You'll Work.
Team & Collaboration
ML platform team; Feature team
Communication Scope
Communicate findings
Full Job Description
YOUR IMPACT We are looking for a Senior Machine Learning Engineer to join the ML Engineering team in Patient Solutions. Your mission will be to improve how people access quality care and manage their health over time by building and leading AI and ML systems that create real, measurable impact. You will work in a feature team developing intelligent patient-facing solutions, from smart practitioner discovery to long-term care management, playing a key technical role in shaping how we scale our AI capabilities across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. WHAT YOU'LL DO Your responsibilities include but are not limited to: - Design and implement ML and AI solutions aligned with patient product goals, covering search, retrieval, and personalized care pathways - Build and maintain large-scale retrieval pipelines, including hybrid search, embedding systems, vector databases, and multi-stage re-ranking architectures - Develop, fine-tune, and evaluate LLM and VLM models using techniques such as knowledge distillation, Mixture-of-Experts (MoE) architectures, and prompt engineering - Build and orchestrate agentic AI systems, integrating external data and capabilities through tools and MCP-based integrations - Define metrics aligned with product goals, run controlled end-to-end experiments using W&B, MLFlow, or Braintrust, and communicate findings to guide product and technical decisions - Deploy solutions to production in collaboration with our ML platform team, ensuring reliability, observability, and performance at scale, and act as a technical reference to elevate the team's standards and practices WHO YOU ARE Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: - You have 7+ years of experience in Machine Learning, Deep
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