AI/ML Engineer Sr

AI/ML Engineer

Credence is one of the largest privately held technology services companies in the country, repeatedly recognized as a top place to work and ranked on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

At Credence, we support our clients' mission-critical needs, powered by technology. We deliver cutting-edge solutions—including AI/ML, enterprise modernization, and advanced intelligence capabilities—to the largest federal defense and health organizations. Through partnership and trust, we increase mission success for warfighters and help secure our nation's future.

Credence has an immediate need for a senior level AI/ML Engineer to support the U-2 Airframe Forecasting Dashboard. We are supporting the Air Force by developing a forecasting dashboard powered by AI. This will be delivered initially as a Minimum Viable Product (MVP) in IL-2, with plans to scale to IL-4 in AWS. The product will feature chatbots, dashboards, alerts/notifications, and reports, focusing on demand forecasting, inventory and stock issues, maintenance tracking, and data analysis.

Responsibilities Include, But Are Not Limited To The Duties Listed Below

• Lead the design, development, and deployment of scalable AI and ML models and systems
• Translate business requirements into technical solutions across multiple federal missions
• Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization
• Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments
• Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers
• Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation
• Ensure all solutions meet federal security, compliance, and cloud architecture standards

Education, Requirements And Qualifications

• Master's degree in AI, Machine Learning, or a related field
• Minimum of 5+ years of hands-on experience in AI/ML solution development
• Demonstrated experience leading AI/ML initiatives or technical teams
• Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks.
• Proficiency in Python and Typescript for application development and advanced scripting,
• Experience deploying AI solutions in AWS, Azure, or GCP environments
• Familiarity with CI/CD, containerization (Docker, Kubernetes), and DevOps principles
• Experience with Agile methodologies and tools (e.g., Git, Jira)
• Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance

Preferred Qualifications

• Strong understanding of data engineering and data modeling concepts
• Experience with data visualization tools such as Power BI or Tableau
• Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance
• Prior experience with federal or public sector digital modernization projects
• Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks

Working Conditions And Physical Requirements

Please join us, as together we build a better world one mission at a time powered by Technology and its People!

Locations: Hybrid : McLean VA, Hanscom AFB - Bedford Mass, Warner Robins, GA