Storage AI Specialist

Overview

Design, build, and operate production-grade AI and Generative AI solutions for HPE's Hybrid Cloud and GreenLake technology portfolio, using large language models and related cloud and MLOps technologies.

What you'll do

• Design and build production-grade AI and Generative AI solutions using large language models (LLMs).
• Develop AI agents, copilots, and workflow automation systems that improve user productivity and business outcomes.
• Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources.
• Fine-tune, evaluate, and optimize machine learning and foundation models for accuracy, performance, safety, and cost.
• Build scalable APIs, services, and platforms to serve AI models in production environments.
• Establish monitoring, observability, and governance mechanisms to ensure responsible AI deployment.
• Drive experimentation, innovation, and adoption of emerging AI technologies across the organization.

What you'll need

• Bachelor's or master's degree in computer science, engineering or closely related quantitative discipline.
• Typically, 6-9 years’ experience.
• Programming skills in Python, SQL, and Java or Go.
• AI/ML skills, including PyTorch and Scikit-learn.
• LangChain experience.
• Generative AI knowledge, including GPT, Claude, and Llama.
• Prompt Engineering skills.
• Fine-tuning experience.
• RAG experience.
• Agentic AI experience.
• Vector Databases experience.
• Cloud and MLOps skills.
• Public Cloud experience with AWS or Azure.
• Kubernetes and Docker experience.
• MLflow and CI/CD experience.

Nice to have

• Storage Domain Skills, including Block/Object/File Storage.
• MLOps and LLMOps platform experience.
• GPU orchestration, model optimization, and inference scaling experience.
• Experience building platforms supporting multiple AI products and teams.

Details

• The role is hybrid.
• You will work on average 2 days per week from an HPE office.
• Location: Bengaluru, Karnataka, India.