DevOps & MLOps Engineer – Automation, Analytics & GenAI

Job Description:

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for DevOps, MLOps, and automation workflows.

• Deploy, monitor, and optimize ML and GenAI models in production environments for performance, scalability, and reliability.

• Develop and enhance live automation and analytics projects, ensuring minimal disruption to operations while improving efficiency.

• Optimize GenAI solutions and workflows for accuracy, performance, and cost efficiency.

• Collaborate with RPA teams (WorkFusion, Selenium, Java, Python) to integrate and enhance automation solutions with enterprise applications.

• Implement containerization and orchestration using Docker, Kubernetes, or equivalent technologies.

• Automate infrastructure provisioning and management using Terraform, Ansible, or CloudFormation.

• Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

• Partner with analytics, data engineering, and business teams to enable data-driven decisions.

• Document processes, conduct knowledge-sharing sessions, and mentor junior team members.

what you need to bring :

• 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.

• Proficient in Selenium, Java, and Python for automation development and testing.

• Experience in CI/CD tools like Jenkins, GitLab CI, or Azure DevOps.

• Hands-on with containerization and orchestration: Docker, Kubernetes, Helm, etc.

• Experience in deploying, optimizing, and enhancing ML/GenAI solutions, including frameworks like TensorFlow, PyTorch, or Hugging Face.

• Working knowledge of cloud platforms (AWS, Azure, GCP) and cloud-native services for automation, analytics, and AI/ML workloads.

• Familiarity with enterprise applications (Salesforce, SAP, ServiceNow, etc.) and integrating automation solutions.

• Strong problem-solving, debugging, and troubleshooting skills for live systems.

• Excellent collaboration, communication, and mentoring skills.

• Exposure to MLOps pipelines: MLflow, Kubeflow, or TFX.

• Experience in monitoring and logging frameworks: Prometheus, Grafana, ELK stack, or equivalent.

• Hands-on experience with GenAI model fine-tuning, optimization, or prompt engineering.

• Familiarity with Agile/Scrum methodologies and collaborative DevOps practices.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Job:

Job Level:

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.