DevOps & MLOps Engineer – Automation, Analytics & GenAI

Overview

DevOps & MLOps Engineer focused on automation, analytics, and GenAI. This hybrid role requires working on average 2 days per week from an HPE office.

What you'll do

• Design, implement, and maintain CI/CD pipelines for DevOps, MLOps, and automation workflows.
• Deploy, monitor, and optimize ML and GenAI models in production for performance, scalability, and reliability.
• Develop and enhance live automation and analytics projects with minimal operational disruption.
• Optimize GenAI solutions and workflows for accuracy, performance, and cost efficiency.
• Integrate automation solutions with enterprise applications in collaboration with RPA teams.
• Implement containerization and orchestration using Docker, Kubernetes, or equivalent technologies.
• Troubleshoot production issues and implement permanent fixes after root-cause analysis.

What you'll need

• 6–10 years of experience in DevOps, MLOps, or related enterprise roles.
• Hands-on RPA experience with WorkFusion, Automation Anywhere, or UiPath.
• Proficiency in Selenium, Java, and Python for automation development and testing.
• Experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
• Hands-on experience with Docker, Kubernetes, and Helm (or equivalent container/orchestration).
• Experience deploying and optimizing ML/GenAI solutions using frameworks like TensorFlow, PyTorch, or Hugging Face.
• Working knowledge of cloud platforms AWS, Azure, and GCP for cloud-native AI/ML workloads.

Details

• Location: Bengaluru, Karnātaka, India.
• Work mode: Hybrid (average 2 days per week from an HPE office).