AI / Machine Learning Lead

RiVidium is seeking an AI / Machine Learning Lead to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data Operations ? Modernization & Innovation and helps deliver mission-focused outcomes for service members, families, and related stakeholders. Implements PWS C.5.3.13 Innovation initiatives; develops AI/ML models, integrates automation pipelines, and ensures secure deployment in DoD environments. This position is contingent upon contract award.

Key Responsibilities

• Lead AI and machine learning initiatives that support modernization, automation, and advanced analytics objectives.
• Build or refine models, workflows, and supporting data processes in secure environments.
• Coordinate with data, engineering, and stakeholder teams to translate use cases into practical solutions.
• Help ensure AI/ML solutions are measurable, supportable, and responsibly deployed.

Basic Qualifications

• Bachelor?s degree in a relevant discipline or equivalent professional experience.
• Relevant experience aligned to the role and labor category; openings may be filled at Lead (15+ yrs).
• Ability to satisfy applicable Government personnel security requirements for the assigned role. For IT and cybersecurity workforce positions, applicable DoD 8140 training and certification requirements will apply upon award.
• Strong communication, teamwork, and documentation skills in a mission-focused delivery environment.

Preferred Qualifications

• Experience with data pipelines, dashboards, visualization tools, analytics, or reporting automation, as applicable to the role.
• Ability to translate operational data into actionable insights for technical and non-technical stakeholders.
• Experience with data quality, governance, and performance metrics in enterprise environments.

Work Setting

This role is expected to support work in the Alexandria, Virginia area, with on-site support at the DoD Mark Center or other customer-approved locations as required. Hybrid support in the Alexandria, Virginia area is expected, with on-site support as required by the customer.