Principal Cloud Engineer – AI/ML
USD 110K-165K (estimate) Senior-level Full Time
Tasks
- Author and evangelize AI ML platform strategies
- Coordinate enterprise conceptual architecture components
- Define enterprise AI ML architecture strategy across cloud providers
- Design and enhance end to end ML pipelines
- Drive responsible AI model governance and risk management
- Drive system migration based on enterprise blueprints
- Enable real time and batch inference architectures
- Ensure architecture standards guidelines principles and reference models
- Establish MLOps standards for ML CI CD model registry feature store and monitoring
- Evaluate and implement ML platforms
- Lead enterprise architecture strategy and maintain enterprise blueprints
- Partner with data science teams to operationalize models at scale
- Provide continuous consulting services for architecture and projects
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Batch inference | CI/CD | Cloud platform | CloudFormation | Continuous Delivery | Continuous integration | Data Ingestion | Data Security | Deployment | DevSecOps | Experiment tracking | Feature Engineering | Feature Store | Firewalls | Google Cloud | Google Cloud Platform | Inference | Infrastructure as Code | MLOps | Machine Learning | Model Governance | Model Registry | Monitoring | Networking | Private Cloud | Real Time | Real-time Inference | Responsible AI | Risk Management | Streaming | Subnets | Terraform | Training | Virtual Private Cloud | Zero Trust | “as-code”
Education
N/A
Roles
Cloud Engineer | Engineer | Principal | Principal Cloud Engineer
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