Lead ML Platform Engineer (SRE / FTE / Onsite)
Tasks
- Automate infrastructure provisioning
- Automate model packaging and deployment
- Build CI/CD pipelines
- Build reusable ML platform services
- Create dashboards alerts SLOs SLIs
- Define ML platform architecture
- Design governed data and feature access
- Develop model delivery pipelines
- Establish security controls and encryption
- Implement MLOps experiment tracking
- Implement observability with logs, metrics, traces
- Implement training and validation workflows
- Lead architecture and code reviews
- Maintain operational documentation and knowledge transfer
- Manage incident response and runbooks
- Operate real time and batch inference
- Perform capacity planning and reliability improvements
- Set up model registry integration
Perks/Benefits
- N/A
Skills/Tech-stack
API | Access Management | Argo CD | Argo Workflows | CI/CD | Disaster Recovery | Encryption | GCP | GKE | Git | Helm | High Availability | Identity and Access Management | Identity and access | Incident Management | Infrastructure as Code | Jenkins | Kubernetes | Logging | MLOps | Metrics | Monitoring | Network Security | Observability | OpenShift | Python | SLI | SLO | Secrets management | Terraform | Tracing | Vertex AI | “as-code”
Education
N/A
Regions
Countries
States
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