Joining a dynamic team, the full-time remote AI DevOps Engineer will build and manage CI/CD pipelines, deploy containerized AI workloads, and ensure the reliability and security of AI applications for public sector organizations. Key responsibilities Build, maintain, and optimize CI/CD pipelines for AI and machine learning deployments Deploy and manage containerized AI workloads using Docker and Kubernetes Monitor production environments and collaborate with cross-functional teams to streamline deployment processes Required qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field preferred Three or more years of experience in DevOps, MLOps, or related infrastructure roles Hands-on experience with containerization technologies and CI/CD pipeline development Familiarity with cloud platforms such as AWS, Azure, or GCP Experience supporting AI and machine learning workloads in production environments