Role Summary
Hewlett Packard Enterprise (HPE) is hiring a DevOps & MLOps Engineer – Automation, Analytics & GenAI for its IT Operations team in Bengaluru, Karnataka under a hybrid model (2 days/week office). In this senior role, you will architect CI/CD pipelines, containerize microservices, deploy and optimize machine learning and Generative AI models in production, and integrate enterprise Robotic Process Automation (RPA) tools with core platforms like SAP, Salesforce, and ServiceNow.
Key Responsibilities
- CI/CD & MLOps Pipeline Engineering: Build, maintain, and optimize continuous integration, delivery, and MLOps deployment pipelines for machine learning and GenAI workloads.
- Model Deployment & GenAI Optimization: Deploy, monitor, and fine-tune ML/GenAI models (Hugging Face, PyTorch, TensorFlow) in production for low latency, high throughput, and cost-efficiency.
- Enterprise RPA & Automation Integration: Collaborate with RPA engineering teams (WorkFusion, UiPath, Automation Anywhere) using Java, Python, and Selenium to integrate intelligent automation with enterprise applications (SAP, Salesforce, ServiceNow).
- Infrastructure as Code & Cloud Orchestration: Automate infrastructure provisioning using Terraform and Ansible, containerizing microservices via Docker, Kubernetes, and Helm on cloud platforms (AWS/Azure/GCP).
- Observability & Continuous Improvement: Set up continuous monitoring and logging using Prometheus, Grafana, and the ELK stack, executing root-cause analysis for production issues on live systems.
Key Qualifications
- Education: Bachelor’s (BE/B.Tech) or Master’s (MS/M.Tech) degree in Computer Science, Information Technology, Software Engineering, or an equivalent technical discipline.
- Experience: 6 to 10 years of enterprise experience in DevOps, MLOps, software automation, or cloud platform engineering.
- RPA & Automation Stack: Strong hands-on experience with RPA engines (WorkFusion, UiPath, Automation Anywhere) and scripting/automation in Python, Java, and Selenium.
- ML/AI Frameworks: Proven track record deploying or optimizing ML/GenAI workflows, fine-tuning LLMs, or orchestrating pipelines using MLflow, Kubeflow, or TFX.
- DevOps & Infrastructure: Extensive experience with CI/CD suites (Jenkins, GitLab CI, Azure DevOps), Kubernetes, Docker, Helm, and IaC tools (Terraform, Ansible, CloudFormation).
- Soft Skills: Strong collaborative skills to interface with data engineering, analytics, and business units alongside a track record of mentoring junior engineers.
About Hewlett Packard Enterprise
Hewlett Packard Enterprise (HPE) is the global edge-to-cloud company advancing the way people live and work by helping organizations connect, protect, analyze, and act on their data and applications wherever they reside.