Artificial Intelligence​/Machine Learning; AI​/ML Systems Engineer

Qualifications

• A High School Diploma or GED plus twelve (12) years of general systems engineering experience, OR
• Bachelor’s degree in a qualified engineering field or a related discipline from an accredited college or university plus seven (7) years of systems engineering experience, OR
• A Master’s degree in a qualified engineering field or a related discipline from an accredited college or university plus five (5) years of systems engineering experience, OR
• A PhD in a Qualified Engineering Field or a related discipline from an accredited college or university plus three (3) years of systems engineering experience
• Position requires an active TS/SCI clearance with polygraph
• Candidate's most recent security polygraph must have been within the last 5 years
• Experience with Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
• Experience with AI/ML system design and implementation
• Experience with ML pipeline development, model deployment, and Dev Ops/MLOps
• Must have understanding of System security and networking (particularly the implementation of system security on classified systems)
• Must have understanding of data engineering and data life-cycle management
• Candidate must have 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.