Senior MLOps Engineer - Secure Production Data Ingestion

Doctolib; Paris; Hybride; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Free health insurance

25 days vacation, 14 days RTT

Mental health services

Lunch vouchers

Public transport reimbursement

Relocation support

Work from abroad policy

Résumé du poste

Doctolib is seeking a Senior MLOps Engineer to join its Panda Team in Paris, focusing on building and maintaining secure ML pipelines to transform healthcare data handling.

The ideal candidate will have over 7 years of experience in managing production ML models, along with proficiency in Python and ML orchestration tools. A hybrid work model is offered, with a commitment to improving healthcare accessibility.

Qualifications

• 7+ years as an MLOps Engineer with proven production model management experience.
• Expert-level experience with ML orchestration tools.
• Strong SRE foundation focused on operations excellence.

Responsabilités

• Design and implement end-to-end ML model pipelines in production.
• Build and maintain secure data export services with ML-based threat detection.
• Monitor data and ML platforms for performance and reliability.

Connaissances

MLOps Engineering

Python

ML orchestration tools

Site Reliability Engineering

Infrastructure as Code

Cloud infrastructure

Problem-solving

Fluency in English

Outils

MLflow

Terraform

Kubernetes

Description du poste

Doctolib is seeking a Senior MLOps Engineer to join its Panda Team in Paris, focusing on building and maintaining secure ML pipelines to transform healthcare data handling.

The ideal candidate will have over 7 years of experience in managing production ML models, along with proficiency in Python and ML orchestration tools. A hybrid work model is offered, with a commitment to improving healthcare accessibility.