AI Platform Engineer
Columbia, MD, United States
USD 139K-215K (estimate) Mid-level Full Time
Tasks
- Advise on AI ML platform design evaluation
- Assess platform readiness for AI workloads
- Coordinate with program engineering mission stakeholders and cybersecurity teams
- Develop technical documentation and architecture artifacts
- Educate stakeholders on AI platform concepts and implementation best practices
- Evaluate vendor offerings and reference architectures
- Identify integration risks and recommend mitigation strategies
- Provide SETA support for AI platform architecture and integration
- Support platform decisions across Azure AWS containers and data pipelines
- Support transition planning to operational capability
Perks/Benefits
- N/A
Skills/Tech-stack
API | Access Management | Amazon Web Services | Artificial Intelligence | Cloud Architecture | Data Pipelines | DevSecOps | Docker | Identity and Access Management | Identity and access | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Microsoft Azure | Model Hosting | Observability | Scalability | Security | Technical documentation | Web Services | “as-code”
Education
Roles
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