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 for DevOps, MLOps, and automation workflows in enterprise settings.
- Deploy, monitor, and optimize ML/GenAI models and automation solutions for performance, scalability, reliability, and cost efficiency.
- Collaborate with cross-functional teams including RPA, analytics, and business units to integrate and enhance automation and AI-driven applications.
Minimum Requirements
- 6–10 years of experience in DevOps, MLOps, or related roles in enterprise environments.
- Strong hands-on experience with RPA technologies such as WorkFusion, Automation Anywhere, or UiPath; and programming skills in Selenium, Java, and Python.
- Proficiency with CI/CD tools (Jenkins, GitLab CI, Azure DevOps), containerization/orchestration (Docker, Kubernetes), and infrastructure automation (Terraform, Ansible, CloudFormation).
- Experience with ML/GenAI frameworks (TensorFlow, PyTorch, Hugging Face), cloud platforms (AWS, Azure, GCP), and production troubleshooting; Work Experience Required: 6–10 years.
Ideal Candidate Profile
- Demonstrated ability to manage complex CI/CD pipelines and deploy scalable ML/GenAI models in production environments.
- Experience integrating RPA automation with enterprise business applications (e.g. Salesforce, SAP, ServiceNow).
- Comfortable working in hybrid work models collaborating closely with cross-disciplinary teams including analytics, data engineering, and automation specialists.