Senior / Principal Infrastructure Engineer - ML Platform
Tasks
- Bootstrap Kubernetes infrastructure
- Build tooling interfaces and visualizations
- Design and scale ML infrastructure systems
- Develop CI/CD for ML models
- Implement platform tooling for ML lifecycle
- Maintain cloud infrastructure for ML platform
- Maintain serving layer and pipeline orchestration
- Manage GPU fleet
- Manage metadata store and model registry
- Orchestrate hybrid cloud
- Support ML model serving and training pipelines
- Write custom Kubernetes controllers
Perks/Benefits
Skills/Tech-stack
AWS | CI/CD | Cloud infrastructure | Cloud platform | Cluster management | Custom Kubernetes controllers | Docker | Fleet Management | GPU fleet management | Google Cloud | Google Cloud Platform | Hybrid Cloud | Infrastructure as Code | Kubernetes | Kubernetes controllers | Machine Learning | Model Registry | Model Serving | Model Training | Pipeline Orchestration | Terraform | “as-code”
Education
Regions
Countries
States
Cities
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