Senior MLOps Engineer (Full Remote from France)
Tasks
- Accelerate time to market for production ready ML products
- Deliver MLOps building blocks
- Empower ML engineers with tools infrastructure and frameworks
- Enable large scale ML experimentation with reproducible environments
- Handle on call responsibilities and post mortems
- Integrate ML services with required resources
- Manage GPU infrastructure dynamically
- Mediate between ML and backbone teams
- Monitor troubleshoot and iterate models in production
- Own ML CI CD pipelines
- Perform level 1 failure analysis
- Tackle technical debt and build foundations for next projects
Perks/Benefits
Skills/Tech-stack
Airflow | ArgoCD | Bash | BigQuery | Cloud Storage | Cloud platform | Data Security | Datadog | Dataflow | Docker | Encryption | FluxCD | GPU Management | GitOps | Go | Google Cloud | Google Cloud Platform | Google Cloud Storage | Google Kubernetes | Google Kubernetes Engine | Helm | Jupyter | Kestra | Kubeflow | Kuberay | Kubernetes | Kubernetes Engine | Looker | MLflow | Machine Learning | Prometheus | Python | Redis | Rust | Terraform | Vertex AI
Education
N/A
Roles
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