DevOps And MLOps Engineer Automation Analytics And GenAI

Hewlett Packard Enterprise; Bengaluru; Hybrid; INR 2,800,000 - 4,200,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Career development programs

Inclusive culture

Flexible hybrid work

Job summary

Hewlett Packard Enterprise in Bengaluru, India, seeks a DevOps & MLOps Engineer focused on automation, analytics and GenAI. The role is hybrid with an average of two days per week in an HPE office.

You design, deploy, and optimize CI/CD pipelines and ML/GenAI models, collaborating across teams to enhance automation while ensuring reliability and cost efficiency. Mentoring and knowledge sharing are encouraged.

Qualifications

• 6–10 years of experience in DevOps or MLOps in enterprise environments.
• Strong hands-on with RPA like WorkFusion, Automation Anywhere, or UiPath.
• Proficient in Selenium, Java, and Python.
• Experience with CI/CD tools: Jenkins, GitLab CI, or Azure DevOps.
• Hands-on with Docker, Kubernetes, Helm; Terraform/Ansible experience.
• Experience deploying ML/GenAI, frameworks like TensorFlow, PyTorch, Hugging Face.
• Knowledge of AWS/Azure/GCP and cloud-native services for automation and AI/ML.
• Familiarity with enterprise apps (Salesforce, SAP, ServiceNow).
• Strong problem-solving, collaboration, and mentoring skills.
• Exposure to MLflow, Kubeflow, or TFX; monitoring with Prometheus, Grafana, ELK.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for DevOps, MLOps, and automation.
• Deploy, monitor, and optimize ML/GenAI models in production for performance.
• Develop and enhance live automation and analytics projects with minimal disruption.
• Optimize GenAI workflows for cost, accuracy, and speed.
• Collaborate with RPA teams and integrate automation with enterprise apps.
• Implement Docker, Kubernetes, and infrastructure as code (Terraform/Ansible).
• Troubleshoot production issues and perform root-cause analysis.
• Document processes and mentor junior team members.

Skills

DevOps

MLOps

CI/CD

Docker

Kubernetes

Terraform

Ansible

Jenkins

Python

Java

WorkFusion

Selenium

TensorFlow

PyTorch

GCP

Tools

Docker

Kubernetes

Helm

Terraform

Ansible

CloudFormation

Jenkins

GitLab CI

Azure DevOps

Prometheus

Grafana

ELK

MLflow

Kubeflow

TFX

Job description

Job Description:

DevOps & MLOps Engineer – Automation, Analytics & GenAI. This role has been designed as Hybrid with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives onfinding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

HPE Operations

HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today’s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for you.

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 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.

What We Can Offer You:

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.

Let’s Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#india#operations

Job:

Engineering

Job Level:

TCP_01

Equal Employment Opportunity / Veterans/Disabled/LGBT

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

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.