Senior DevOps Engineer Full Remote From France H/F
Core
Building industrialized infrastructure and MLOps practices to support 100+ active AI projects on GCP, enabling fast and reliable model shipping.
Role type
Senior DevOps/MLOps Engineer
Builds
Production-ready ML products, scalable experimentation environments, and MLOps tooling (MLflow, Kubeflow, KubeRay) on GCP.
Domain
Artificial Intelligence / Machine Learning Operations / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
GCP expertise, MLOps framework implementation (MLflow, Kubeflow, KubeRay), GPU infrastructure management, CI/CD pipeline adaptation for ML, production monitoring and troubleshooting, technical debt management, cross-team technical mediation.
Preferred skills
Experience handling GPU resource constraints (e.g., L40 shortages), A/B testing infrastructure setup.
Technologies
GCP, MLflow, Kubeflow, KubeRay, Kubernetes, GPU clusters.
Responsibilities
Empower ML Engineers with autonomous tools and frameworks; Own ML CI/CD pipelines; Monitor and troubleshoot models in production; Enable large-scale ML experimentation; Manage dynamic GPU infrastructure; Address technical debt; Act as technical mediator between ML and Backbone teams; Handle on-call duties and failure analysis.