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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML systems engineering, including the design and development of AI/ML-based solutions for defense and intelligence applications. Proficient in building and optimizing large-scale distributed data pipelines while ensuring system reliability and mission readiness.
Highest-signal resume keywords
AI/ML Systems EngineeringLarge-Scale Distributed Data PipelinesModel Validation and Statistical AnalysisTop Secret ClearanceContainerized AI/ML Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI/ML Solution DevelopmentApplied AnalyticsModern AlgorithmsData Science MethodsSystems/Network Security FundamentalsML Model FamiliarityStatistical AnalysisOperational Constraints UnderstandingData TaxonomiesInteroperability Standards
Soft Skills
Problem-SolvingAnalytical SkillsCommunication SkillsCollaboration Skills
Tools & Technologies
DevSecOpsCI/CD EnvironmentsGPU-Accelerated PipelinesAI/ML Frameworks
Certifications & Qualifications
Top Secret ClearanceSCI Eligibility
Industry Keywords
DefenseIntelligenceDoDC5ISREWSIGINTCyber OperationsMulti-Domain OperationsSystem-of-Systems EngineeringDigital Engineering
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Deliver AI/ML-focused systems engineering expertise to validate technical and operational solutions
- Design and develop AI/ML-based solutions for defense, intelligence, and mission applications
- Contribute AI/ML engineering inputs to acquisition documents, including SOWs, specifications, engineering plans, and evaluation strategies
- Prepare analysis products and strategic recommendations aligned to government objectives
- Diagnose and resolve AI/ML system challenges to ensure reliability and mission readiness
- Define problem spaces, lead studies, and supervise analytical data collection to support decision-making
- Provide guidance and consultation to cross-functional personnel
- Assist in implementing modern AI/ML frameworks, tools, and software development practices
- Support development and assessment of research and SBIR topics, BOMs, RFPs, and related artifacts
- Communicate progress clearly to leadership and government stakeholders
- Support iterative creation of AI/ML product models for the DoD
- Collaborate on complex technical tasks within the AI/ML environment
Requirements
What you’ll need- BS in Computer Science or related field required; MS/PhD preferred
- 8+ years of relevant experience in AI/ML, applied analytics, or systems engineering
- Ability to rapidly learn emerging technologies in evolving mission domains
- Strong problem-solving and analytical skills with the ability to interpret complex, diverse data sets
- Excellent communication and collaboration skills across multidisciplinary teams
- Experience building, optimizing, and maintaining large-scale distributed data pipelines
- Familiarity with a range of ML models and intelligence-analytic use cases
- Understanding of AI/ML system performance factors such as model validation, statistical analysis, and operational constraints
- Foundational knowledge of the intelligence cycle and intelligence data production workflows
- Proficiency in modern algorithms, data science methods, and systems/network security fundamentals
- Top Secret Clearance with ability to obtain SCI preferred; highly qualified Secret-cleared candidates may also be considered
- Experience supporting U.S. Army, military, intelligence, DoD, federal RDT&E, or government lab organizations preferred
- Familiarity with EW, SIGINT, Cyber, or multi-domain operations/systems preferred
- Experience applying AI/ML to operational military use cases preferred
- Experience developing or integrating models in C5ISR domains preferred
- Familiarity with containerized AI/ML deployment, GPU-accelerated pipelines, DevSecOps, and CI/CD environments preferred
- Background supporting system-of-systems engineering, rapid prototyping, or quick-reaction capability development preferred
- Understanding of MOSA principles and digital engineering/MBSE practices preferred
- Experience designing or integrating distributed analytics with Army or similar cloud or hybrid-edge environments preferred
- Proficiency with data taxonomies, interoperability standards, and mission-data synchronization across tactical and enterprise systems preferred
Benefits
Comp & perks- Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
- Fair and respectful treatment regardless of position, sexual identity, race, or tenure
- Incentives that encourage positive and productive behaviors