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Manager Edge Ai Machine Learning Jobs in Virginia

RIVIDIUM

AI / Machine Learning Lead

Alexandria, VA · Hybrid

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 ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

We offer flexibility to help you manage your work-life balance effectively. * Remote Work: Niyam ... Design, develop, train, and validate advanced AI and machine learning models to support mission ...

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Manager Edge Ai Machine Learning information

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

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Infographic showing various Manager Edge Ai Machine Learning job openings in Virginia as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution.
AI / Machine Learning Specialist

AI / Machine Learning Specialist

RIVIDIUM

Alexandria, VA • Hybrid

Full-time

Posted 29 days ago

Job description

RiVidium is seeking an AI / Machine Learning Specialist 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

  • Support design, development, or integration of AI and machine learning capabilities aligned to mission needs.
  • 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 Mid (5-8 yrs), Senior (10-15 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.

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