Senior MLOps Engineer — ML Platform & Pipelines

Doctolib; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Health insurance

Vacation days

Mental health support

Lunch vouchers

Relocation support

DoctoGrowth stock option

Remote days up to 2 per week

Résumé du poste

Doctolib is seeking a Senior ML Ops Engineer to join the ML Platform team in Paris. You will build, deploy, and scale production-grade ML models, focusing on reliability, scalability, and observability across Europe.

You will own the MLOps pipeline, implement robust CI/CD, monitor models in production, and collaborate with data scientists and engineers to ship end-to-end ML solutions.

Qualifications

• Proficient in Python, SQL, Shell Scripting, and Terraform with hands-on experience building containerized ML pipelines.
• Strong knowledge of cloud platforms, especially AWS SageMaker, EC2, ECS, S3, and CloudWatch.
• Hands-on experience with Deep Learning frameworks (preferably PyTorch) and ML concepts.

Responsabilités

• Build and deploy production-grade ML models in collaboration with data scientists and engineers, ensuring performance, scalability, and reliability.
• Design and maintain the MLOps pipeline, including version control, CI/CD, and monitoring of ML models in production.
• Develop tools, frameworks, and best practices to streamline model development and deployment lifecycle.

Connaissances

Python

SQL

Shell scripting

Terraform

Kubernetes

Cloud-native

English fluent

Outils

Docker

AWS SageMaker

EC2

ECS

S3

CloudWatch

PyTorch

Transformers

LangChain.js

Kubernetes (optional)

Description du poste

Doctolib is seeking a Senior ML Ops Engineer to join the ML Platform team in Paris. You will build, deploy, and scale production-grade ML models, focusing on reliability, scalability, and observability across Europe.

You will own the MLOps pipeline, implement robust CI/CD, monitor models in production, and collaborate with data scientists and engineers to ship end-to-end ML solutions.