DevOps & MLOps Engineer – Automation, Analytics & GenAI
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)6–10 yrsBengaluruOn-siteDirect career pageEst. 22–40 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, and maintain CI/CD pipelines and automation workflows for DevOps, MLOps, and GenAI solutions.
- Deploy, monitor, and optimize machine learning and GenAI models in production for performance, scalability, and reliability.
- Collaborate with RPA teams to integrate automation with enterprise applications and troubleshoot production issues with permanent fixes.
Minimum Requirements
- 6–10 years of experience in DevOps, MLOps, or related enterprise roles.
- Hands-on experience with RPA tools (WorkFusion, Automation Anywhere, or UiPath) and automation development using Selenium, Java, and Python.
- Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps), containerization and orchestration (Docker, Kubernetes), and infrastructure automation (Terraform, Ansible, or CloudFormation).
- Experience deploying and optimizing ML/GenAI solutions using TensorFlow, PyTorch, Hugging Face, plus working knowledge of cloud platforms (AWS, Azure, GCP).
Ideal Candidate Profile
- Senior engineer with extensive experience integrating DevOps and MLOps pipelines including CI/CD and container orchestration in enterprise cloud environments.
- Demonstrated expertise in RPA workflows combined with ML/GenAI deployment and optimization, showing ability to manage live automation and analytics projects.
- Proven track record in troubleshooting production issues, collaborating across analytics and business teams, and mentoring junior team members.