AI/ML Engineer SME

As an AI/ML Engineer SME, you will define and implement scalable AI/ML architectures and end-to-end pipelines for enterprise-class software applications. You will integrate MLOps best practices, ensure elastic and cost-efficient multi-tenant workloads, and leverage Infrastructure-as-Code for cloud-based AI/ML infrastructure. This role requires a deep understanding of AI/ML frameworks, cloud environments, and federal compliance standards.

• Define and maintain scalable AI/ML architecture aligned with enterprise cloud strategy
• Architect and implement end-to-end AI/ML pipelines
• Integrate MLOps best practices for continuous integration and lifecycle management
• Leverage Infrastructure-as-Code tools for cloud ML infrastructure
• Design and support reusable, secure, and performant AI/ML services and APIs
• Conduct model validation and optimization with responsible AI practices

• Must be authorized to work without sponsorship.

• Requires a Public Trust security clearance.