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 including deployment and optimization of ML and GenAI models in production.
- Develop and enhance live automation and analytics projects with minimal operational disruption, integrating RPA and enterprise applications.
- Implement containerization and orchestration technologies (Docker, Kubernetes), automate infrastructure provisioning (Terraform, Ansible), troubleshoot production issues and collaborate across analytics and business teams.
Minimum Requirements
- 6 to 10 years of experience in DevOps, MLOps, or related enterprise roles.
- Strong hands-on experience with RPA technologies such as WorkFusion, Automation Anywhere, or UiPath plus Selenium, Java, and Python proficiency.
- Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps), containerization/orchestration (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
- Work Experience Required: 6-10 years; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in deploying and optimizing ML/GenAI models using frameworks like TensorFlow, PyTorch, or Hugging Face and familiar with MLOps pipelines (MLflow, Kubeflow, TFX).
- Comfortable working in hybrid IT environments integrating automation with enterprise applications like Salesforce, SAP, ServiceNow.
- Able to troubleshoot live production environments with strong problem-solving skills and mentor junior members while collaborating cross-functionally.