Senior MLOps Engineer (Full Remote from France)
Tasks
- Accelerate time to market for production ML products
- Deliver MLOps building blocks
- Empower ML engineers with tools and infrastructure
- Enable large scale ML experimentation environments
- Handle on call and post mortems
- Manage GPU infrastructure dynamically
- Mediate between ML teams and DevOps teams
- Monitor and troubleshoot ML models in production
- Own ML CI CD pipelines
- Tackle technical debt
Perks/Benefits
Skills/Tech-stack
ArgoCD | Bash | BigQuery | CI/CD | Cloud Storage | Cloud platform | Datadog | Docker | FluxCD | GPU Computing | GitOps | Google Cloud | Google Cloud Platform | Google Cloud Storage | Google Kubernetes | Google Kubernetes Engine | Helm | Kubeflow | Kuberay | Kubernetes | Kubernetes Engine | Looker | MLOps | MLflow | Observability | Prometheus | Python | Terraform | Vertex AI
Education
N/A
Roles
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