EuropeVisaJobs

Senior ML Ops (x/f/m)

Doctolib · Paris, France

Confidence
Low confidence
Posted
2 Oct 2026
First seen
24 Oct 2026
Last checked

Evidence

Low confidence

The posting offers relocation help but doesn’t mention a visa. Ask the recruiter before you apply.

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France has no public sponsor register, so this listing relies on the posting.

Job posting

Relocation support in case of international mobility

On job-boards.greenhouse.io/doctolib, read 26 Oct 2026.

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First seen 24 Oct 2026. We check every day and remove closed roles.

Where you apply

job-boards.greenhouse.io/doctolib

Doctolib’s job board, hosted by Greenhouse.

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About the role

Set a new pulse for healthcare! We are looking for a Senior MLOps Engineer to join the ML Platform (TIGER) team in Artificial Intelligence & Machine Learning . Your mission will be to power every ML and AI initiative at Doctolib — from experiment to reliable production service. You will build and operate the foundations that let data scientists, ML engineers, and AI teams ship models and agents safely, fast, and at scale, from classic machine learning to self-hosted generative AI.

You will contribute directly to the reliability and performance of AI-powered features that improve the daily lives of millions of patients and thousands of healthcare professionals 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: • Partner with data scientists, ML & AI engineers to take models from experimentation to reliable, scalable production deployment. • Operate and evolve the orchestration layer for training, serving and evaluation workloads, built on GCP and AWS using Kubernetes (GKE) and Ray-based platforms (Anyscale) — including CI/CD, versioning and automated testing pipelines that carry a model from the registry to a served endpoint.

Read the full posting

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Apply on Doctolib’s site

Opens job-boards.greenhouse.io/doctolib