AI System Engineer

Vetegrity is Hiring!

Applies systems engineering principles throughout the systems life cycle phases:
Concept, Development, Production, Utilization, Support, and Retirement. Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts. Communicates with other program personnel, government overseers, and senior executives. Responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 process areas defined by ISO/IEC
15288.

Desired skills:

• Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
• AI/ML system design and implementation
• High-level understanding of the AI lifecycle (development, training, inference, monitoring)
• Experience with ML pipeline development, model deployment, and Dev Ops/MLOps
• Experience with Amazon Sage Maker is a plus
• Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions
• System security and networking (particularly the implementation of system security on classified systems)
• Data engineering and data lifecycle management