AI/ML Software Development

CACI•Aberdeen Proving Ground, MD

1d•$115,600 - $254,200•Onsite

About The Position

CACI is seeking an experienced AI/ML Subject Matter Expert 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 advanced Artificial Intelligence and Machine Learning solutions. The SME conducts Independent Verification & Validation (IV&V), analyzes model performance and effectiveness, and produces objective technical assessments of AI/ML capabilities and limitations. The role emphasizes mathematics, statistics, machine learning theory, and data science. Familiarity with generative AI is desirable; 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 assess internally developed, vendor-provided, and research-partner solutions and communicate findings to technical and non-technical stakeholders. The position supports the full project lifecycle, from concept development and proposal evaluation through implementation, testing, and transition to operational DoD environments. It includes collaboration with R&D teams, industry partners, academic researchers, engineers, data scientists, government stakeholders, and external partners. The role is full-time, regular employment, based at Aberdeen Proving Ground, with up to 10% local travel and an active Secret clearance required. The proposed salary range is $115,600–$254,200 USD. CACI describes flexible time off, learning resources, competitive compensation, benefits, and learning and development opportunities. Benefits include healthcare, wellness, financial and retirement support, family support, continuing education, and time off benefits.

Requirements

U.S. citizen with an active Secret security clearance.
One of the listed education and experience combinations: a bachelor's degree in a relevant quantitative discipline and 8+ years of relevant experience; a master's degree in a relevant quantitative field and 6+ years of relevant experience; or the stated PhD pathway (the provided posting cuts off before its experience requirement is completed).
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.
Produce technical reports, white papers, and recommendations about model effectiveness, limitations, risks, and improvement opportunities.
Provide constructive technical feedback on AI/ML products and solutions through CRADAs and other collaborative efforts with industry partners.
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.