Doctolib
Publiée hier · Paris
Senior Staff Machine Learning Engineer - Clinical - AI Teams (x/f/m)
- Paris
Description du poste
What you’ll do
We are looking for a Senior Staff Machine Learning Engineer to join the Clinical team in the AI and Machine Learning Department. You'll lead the technical direction of AI systems that enhance clinical decision-making and patient care. You'll tackle the hardest problems in healthcare AI, from building voice-powered consultation assistants to establishing LLM evaluation frameworks that ensure clinical safety and efficacy. This role
combines deep R&D with strategic technical leadership
, shaping how Doctolib deploys AI in regulated healthcare environments.
Your responsibilities include but are not limited to
Technical Strategy & Architecture
- Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns
- Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs
- Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows
End-to-End ML Delivery
- Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)
- Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards
- Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
- Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction
Leadership & Impact
- Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization
- Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams
- Translate clinical needs into research questions and production systems that measurably improve patient outcomes
- Partner with our m
Annonce publiée sur LinkedIn et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.
Offres semblables
- Paris
- 90 k€ – 130 k€ / an
Dans le cadre de la stratégie de l’entreprise, le/la Senior MLOps Engineer construit et opère l’infrastructure et les plateformes qui font tourner notre nouvelle ligne de produits AI managés (l’inférence en tête), en s’appuyant sur les dizaines de milliers de GPU dont dispose Shadow. Nos heures creuses sont les heures
MLOps Engineer (H/F/X)
Shadow
- Paris
- 90 k€ – 130 k€ / an
Dans le cadre de la stratégie de l’entreprise, le/la Senior MLOps Engineer construit et opère l’infrastructure et les plateformes qui font tourner notre nouvelle ligne de produits AI managés (l’inférence en tête), en s’appuyant sur les dizaines de milliers de GPU dont dispose Shadow. Nos heures creuses sont les heures
Senior MLOps Engineer
alice-bob
- Paris
- 85 k€ – 130 k€ / an
Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems. The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit. We’re a diverse team of 250 brilliant minds from over 35 countries united by a singl
- Lyon
- 90 k€ – 120 k€ / an
Ingénieur MLOps · AI Platform Engineer · DataOps / MLOps Engineer · Consultant ML Engineer Présence client + R&D interne Le contexte Chez Thélio, nous accompagnons nos clients de l’expérimentation IA jusqu’à la mise en production industrielle. Le maillon qui fait souvent défaut, c’est l’industrialisation : transf