Senior AI/ML Platform Engineer
US: Denver - Platte, United States
R
USD 135K-175K Senior-level Full Time
Tasks
- Automate infrastructure for AI ML deployments
- Build AI ML platform capabilities
- Configure deployment templates for AI ML workloads
- Create reusable platform patterns for model development and deployment
- Define cost controls and observability requirements
- Define platform usage standards
- Define tiered access models
- Enable observability and monitoring for AI ML workloads
- Evolve AI ML platform capabilities
- Implement CI CD for AI ML workloads
- Implement access controls for AI ML platforms
- Manage environments for AI ML workloads
- Manage secrets for AI ML workloads
- Operate AI ML platform capabilities
- Standardize experiment workflows
- Standardize job workflows
- Standardize model serving workflows
- Standardize notebook workflows
- Standardize pipeline workflows
- Support API model deployment
- Support batch model deployment
- Support production model promotion
- Support real-time model deployment
- Support streaming model deployment
- Troubleshoot platform deployment performance and reliability issues
Perks/Benefits
- 401k matching
- Dental insurance
- Discretionary annual bonus program
- Flexible working schedule
- Health insurance
- Hybrid work schedule
- Long-term incentive program
- Paid time off
- Relocation assistance
- Vision insurance
Skills/Tech-stack
API Gateway | API-based services | APIs | AWS | AWS Lambda | Access Control | Amazon ECS | Amazon EKS | Amazon S3 | Batch Processing | CI/CD | Cloud Native | Cloud Native Architecture | Containerization | Databricks | Docker | Environment Management | Feature Store | IAM | Infrastructure automation | Kubernetes | MLflow | Model Registry | Model Serving | Monitoring | Networking | Observability | Palantir | Real Time | Real-time Systems | Secrets management | Security | Snowflake | Storage Systems | Streaming | Time Systems | Vector Database
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