Open role
ML Ops Engineer
ICF
3 LocationsPosted Oct 12, 2026 · 4h ago$99K – $168K
Full-time$99K – $168KSenior levelRemoteConsulting
About this role
Join ICF's Digital Modernization team to accelerate the modernization of a federal agency's enterprise data and analytics ecosystem. As an ML Ops Engineer, you will develop and maintain machine learning pipelines, deployment frameworks, and monitoring solutions to operationalize AI capabilities in cloud environments. This role is crucial for enabling thousands of users to transform data into actionable insights and adopt modern AI solutions at scale.
What we are looking for
6- Design, build, and maintain production-grade MLOps pipelines
- Develop reusable MLOps/LLMOps patterns using Azure Databricks, MLflow, Azure ML
- Implement experiment tracking, model versioning, and registries
- Build automated CI/CD pipelines using GitHub Actions, Azure DevOps
- Deploy and maintain scalable model-serving infrastructure
- Establish automated testing and evaluation gates for model performance and trustworthiness
Skills mentioned
6PythonAzureTerraformCI/CDMachine LearningData Science
Work authorization
Must be a U.S. citizen.
