ML Ops Engineer - Cloud Data & AI Platform (Remote)

ICF; Charlotte (NC); Remote; USD 99,000 - 168,000; Full time

Job summary

ICF is seeking a senior ML Ops Engineer to design and maintain production-grade MLOps pipelines across training, deployment, monitoring, and retraining workflows. The role partners with data scientists, data engineers, cloud architects, and governance stakeholders to operationalize AI initiatives in a cloud environment.

The position emphasizes building reusable patterns with Databricks, MLflow, and Azure ML, implementing CI/CD, model serving, and automated testing gates, while aligning with

Qualifications

• U.S. Citizenship is required due to federal contract requirements.

Responsibilities

• Design, build, and maintain production-grade MLOps pipelines for model training, evaluation, validation, registration, deployment, monitoring, retraining, rollback, and retirement.

Skills

MLOps

CI/CD practices

Python programming

Cloud engineering

Experiment tracking

Education

Bachelor's degree in CS/EE/ML/DS

High school diploma + 4 years relevant experience

Tools

Azure Machine Learning

Databricks

MLflow

Unity Catalog

Terraform

GitHub Actions

Azure DevOps

Job description

ICF is seeking a senior ML Ops Engineer to design and maintain production-grade MLOps pipelines across training, deployment, monitoring, and retraining workflows. The role partners with data scientists, data engineers, cloud architects, and governance stakeholders to operationalize AI initiatives in a cloud environment.

The position emphasizes building reusable patterns with Databricks, MLflow, and Azure ML, implementing CI/CD, model serving, and automated testing gates, while aligning with