AI/ML Software Development

CACI•Aberdeen Proving Ground, MD

3d•$115,600 - $254,200

About The Position

CACI is seeking an AI/ML Subject Matter Expert (SME) to support a Department of Defense customer at Aberdeen Proving Ground, Maryland. The role works closely with Research & Development teams to evaluate, develop, assess, and validate Artificial Intelligence and Machine Learning solutions. It includes conducting Independent Verification & Validation (IV&V), analyzing model performance and effectiveness, and preparing objective technical assessments of AI/ML capabilities and limitations. The position emphasizes mathematics, statistics, machine learning theory, and data science. Familiarity with generative AI is desirable, but the primary focus is evaluating and improving AI/ML methodologies rather than AI operations, prompt engineering, or application-level integration alone. The successful candidate will examine internally developed, vendor-provided, and research-partner solutions, assess their strengths and weaknesses, and communicate findings clearly to technical and non-technical stakeholders.

Requirements

U.S. citizenship and an active Secret security clearance.
One of the following education and experience combinations: a bachelor's degree in Artificial Intelligence, Computer Science, Data Science, Mathematics, Statistics, Applied Mathematics, Operations Research, Computer Engineering, Physics, or a related quantitative discipline and 8+ years of relevant experience; a master's degree in Artificial Intelligence, Machine Learning, Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative field and 6+ years of relevant experience; or a PhD in Artificial Intelligence, Machine Learning, Data Science, Statistics, or Applications (the source text ends this qualification here).
Strong foundation in mathematics, statistics, machine learning theory, and data science.

Nice To Haves

Familiarity with generative AI technologies.

Responsibilities

Collaborate with R&D teams throughout the project lifecycle, from concept development and proposal evaluation through implementation, testing, and transition to operational DoD environments.
Evaluate AI/ML models, architectures, and products using quantitative and scientifically rigorous methodologies.
Conduct IV&V of AI-enabled systems and assess performance, reliability, robustness, security, explainability, and operational suitability.
Generate technical reports, white papers, and recommendations about model effectiveness, limitations, risks, and opportunities for improvement.
Work with industry partners through Cooperative Research and Development Agreements (CRADAs) and other collaborative efforts to provide technical feedback on AI/ML products and solutions.
Partner with academic researchers and industry organizations to guide research toward mission-relevant applications and measurable outcomes.
Assess emerging AI technologies, algorithms, and research developments for applicability to DoD mission requirements.
Analyze AI/ML systems for safety, bias, robustness, explainability, and adversarial resilience.
Collaborate with software engineers, data scientists, researchers, government stakeholders, and external partners.
Participate in code reviews, architecture discussions, technical evaluations, and experimentation efforts.
Communicate technical findings and recommendations clearly and objectively to leadership, engineering teams, and customers.