Principal Engineer - AI /ML Platform
7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445, United States
USD 168K-356K Senior-level Full Time
Tasks
- Architect enterprise ML infrastructure for inference
- Define ML operations platform architecture
- Define technical strategy and roadmap
- Design cloud native ML platform
- Design scalable secure resilient platforms
- Drive adoption of Kubernetes and platform engineering
- Establish ML lifecycle management standards
- Evaluate emerging technologies
- Improve platform scalability performance and efficiency
- Lead model governance standards
- Lead observability and reliability practices
- Mentor engineers
Perks/Benefits
- 401k
- Dental insurance
- Employee discount
- Health insurance
- Life insurance
- Long-term disability
- Paid Holidays
- Paid sick leave
- Paid vacation
- Short-term disability
- Vision insurance
Skills/Tech-stack
Batch inference | CI/CD | Distributed Systems | Distributed Training | Docker | Explainability | Feature management | GPU infrastructure | Generative AI | GitOps | Google Cloud | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Governance | Observability | Real Time | Real-time Inference | Responsible AI | Service Mesh | Streaming | Terraform | Vertex AI | “as-code”
Education
Regions
Countries
States
Cities
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