ML Ops Engineer

We are looking for experienced MLOps / DevOps Engineers to support a large-scale application migration and modernization program. The role involves migrating existing applications and ML workloads to containerized, cloud-native platforms using OpenShift and AWS ROSA, while ensuring scalability, reliability, and operational excellence. You will work closely with platform, ML, and application teams to redesign, migrate, deploy, and operate workloads in a modern DevOps/MLOps ecosystem. Key Responsibilities: Lead and execute application and ML workload migrations from legacy or VM-based environments to containerized platforms. Design, deploy, and manage infrastructure on AWS, with a strong focus on ROSA (Red Hat OpenShift on AWS). Build and operate CI/CD pipelines for application and ML lifecycle management. Containerize applications using Docker and deploy/manage them on Kubernetes/OpenShift. Implement MLOps practices for model training, deployment, versioning, monitoring, and rollback. Collaborate with development and data science teams to optimize performance, cost, and scalability. Ensure platform reliability through monitoring, alerting, logging, and automation. Participate in troubleshooting, root cause analysis, and continuous improvement initiatives.

B.Tech / B.E. (Computer Science, IT, or related discipline) or equivalent practical experience. 5+ years of hands-on DevOps / MLOps experience in production environments.