Job highlights
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 DevOps/MLOps
- Must have understanding 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.
Job Category: AI
Job Type: Full Time
Job Condition: Hybrid
Geographical Location: U.S. - Maryland
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