Principal Engineer - AI Platform (AI Factory /Advance AI)
USD 168K-303K Senior-level Full Time
Tasks
- Define ML lifecycle management standards
- Define ML platform architecture
- Deploy and govern machine learning systems
- Design cloud-native ML infrastructure
- Drive adoption of Kubernetes platforms
- Ensure model governance and responsible AI
- Evaluate emerging technologies
- Lead enterprise inference architecture
- Mentor engineers and influence strategy
- Monitor and ensure ML observability
Perks/Benefits
- 401k
- Employee discount
- Health benefits
- Life insurance
- Long-term disability
- Paid Holidays
- Paid sick leave
- Paid vacation
- Short-term disability
Skills/Tech-stack
Automation | CI/CD | Cloud Native | Distributed Systems | Distributed Training | Explainability | Foundation Models | GPU infrastructure | Generative AI | GitOps | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Governance | Observability | Responsible AI | Service Mesh | Service reliability | Terraform | Testing | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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