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MLOps Engineer - Guidehouse
MLOps Engineer
Senior MLOps Engineer designing secure, scalable ML deployment pipelines on cloud platforms, integrating CI/CD, container orchestration, and infrastructure as code to deliver reliable solutions for federal clients.
About the role
Key Responsibilities
- Design, build, and maintain end‑to‑end ML pipelines using Docker, Kubernetes, and CI/CD tools.
- Implement infrastructure as code with Terraform and manage cloud resources on AWS.
- Integrate MLflow for experiment tracking, model registry, and deployment automation.
- Collaborate with data scientists, AI engineers, and government stakeholders to operationalize models across development, testing, and production environments.
- Ensure compliance with federal security standards (Active Secret clearance) and implement robust monitoring, logging, and incident response.
Requirements
- 5+ years of experience in MLOps or related roles.
- Proficiency with containerization, orchestration, and cloud services (AWS preferred).
- Strong scripting skills in Python and experience with CI/CD pipelines.
- Knowledge of infrastructure as code (Terraform) and security best practices.
- Excellent communication and collaboration skills in a cross‑functional team environment.
Skills
mlopsdockerkubernetescicdawsterraformmlflow