ML Platform Engineer
Tasks
- Architect model deployment and serving
- Build scalable reliable ML infrastructure
- Collaborate with researchers and product engineers
- Create platform abstractions to reduce operational overhead
- Design ML training evaluation serving systems
- Develop internal tooling and workflows
- Drive platform technical direction and tradeoffs
- Improve observability automation reliability
- Schedule monitor and debug GPU workloads
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud infrastructure | Datadog | Debugging | Distributed Systems | GPU | GitHub Actions | Infrastructure automation | Kubernetes | Linux | Observability | Python | Temporal | Terraform | Workflow Orchestration
Education
N/A
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