ML Ops Engineer

About the role

This role is contingent upon a contract award; while it is not an immediate opening, ICF is actively conducting interviews and extending offers in anticipation of the award. The Digital Modernization Division is an information technology and management consulting organization that delivers integrated, strategic solutions to federal clients, bringing expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation to support mission‑critical government programs. You will join a team accelerating the modernization of a large federal agency's enterprise data and analytics ecosystem. This cloud‑based platform provides data storage, analytics, governance, and AI/ML capabilities that enable thousands of users to transform data into actionable insights. As demand continues to grow, the team is focused on migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations across the enterprise adopt modern data and AI solutions at scale. The ML Ops Engineer will develop and maintain machine learning pipelines, model registries, deployment frameworks, monitoring solutions, and automated workflows that support enterprise AI initiatives, working closely with data scientists, data engineers, cloud architects, platform engineers, and Trustworthy AI stakeholders to enable the successful operationalization of machine learning capabilities across cloud‑based environments. Job Location: Remote, with a strong preference for candidates who live in the Washington DC Metro Area; occasional onsite meetings are required at the client site in Washington, DC. If you accept this position, note that ICF monitors employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections.