Senior DevOps Engineer (Full Remote from France)

📋 Description

• Empower ML Engineers with tools, infra, and frameworks to iterate fast.
• Accelerate time-to-market for production ML products with seamless integration.
• Own ML CI/CD with ML team, adapting frameworks to ML needs.
• Keep models under production control: monitor, troubleshoot, iterate in prod.
• Enable large-scale ML experimentation with robust, scalable prod environments.
• Deliver MLOps building blocks (MLflow, Kubeflow, KubeRay) and GPU infra.

🎯 Requirements

• Solid MLOps or DevOps; production experience matters most.
• GCP expert: Vertex AI, GKE, GCS, BigQuery.
• Full GitOps: FluxCD first, ArgoCD accepted.
• Kubernetes in prod, not just lab.
• Hands-on with ML tools: MLflow, Kubeflow, KubeRay.
• GPU-aware: manage GPU scarcity at scale during training.