Devops & Mlops Engineer Automation, Analytics & Genai
- Hewlett Packard
- 6 - 10 years
- Bengaluru
- 7 days ago
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Job Description
DevOps MLOps Engineer Automation, Analytics GenAI
This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
Job Description:
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.
- 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.
Cross Domain Knowledge, Design Thinking, Development Fundamentals, Full Stack Development, Release Management, Security-First
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: Site Reliability EngineerEmployement Type: Full timeContact Details:
Company: Hewlett PackardLocation(s): Bengaluru+ View Contact
Keyskills: IT services TCP Automation SAP Claims Development Manager Enterprise applications GCP Analytics Salesforce
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Hewlett Packard Enterprise is an industry leading Technology Company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world mak...
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