Senior ML Ops (x/f/m)
Doctolib · 🇫🇷 Paris, France
Sponsorship Verification Proof
The posting itself mentions visa sponsorship or relocation support:
“• Relocation support in case of international mobility”
- Verification category
- Posting mentions relocation support (no visa wording)
- Role category
- ML / AI
- Last verified
- 2026-10-25
- First indexed
- 2026-10-24
- Posted date
- 2026-10-02
- ATS / Feed source
- Greenhouse job board
Role Description (Excerpt)
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. • Build the tools, templates and best practices (Terraform modules, Kubernetes CRDs and operators, GitOps workflows, internal libraries) that let any ML team deploy and operate their…
Excerpt only — read the full requirements and apply directly on Doctolib's career page. We do not process applications.