HP Enterprise—Storage AI Expert

Job description

Description: Storage AI Expert 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 on finding 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. Job Description: In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you. 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. - Partner with cross-functional teams to identify high-impact AI opportunities and translate business requirements into technical solutions. - Establish monitoring, observability, and governance mechanisms to ensure responsible AI deployment. - Drive experimentation, innovation, and adoption of emerging AI technologies across the organization. - Mentor engineers and promote engineering excellence, code quality, and AI best practices. What you need to bring: Education and Experience Required: - Bachelor's or master's degree in computer science, engineering or closely related quantitative discipline. - Typically, 9-12 years’ experience. Programming - Python - SQL - Java, Go AI/ML - PyTorch - Scikit-learn - LangChain Generative AI - GPT, Claude, Llama - Prompt Engineering - Fine-tuning - RAG - Agentic AI - Vector Databases Cloud & MLOps - Public Cloud (AWS/Azure) - Kubernetes - Docker - MLflow - CI/CD Good To Have Skills - Storage Domain Skills (Block/Object/File Storage) - MLOps and LLMOps platform experience. - GPU orchestration, model optimization, and inference scaling. - Enterprise AI governance and evaluation frameworks. - Experience building platforms supporting multiple AI products and teams 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 #hybridcloud Job: EngineeringJob Level: TCP_04 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. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. 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. Skills: python, sql, generative ai, pytorch, scikit-learn, langchain, prompt engineering, fine-tuning, retrieval-augmented generation, vector databases, cloud & mlops, gpt, claude, llama, kubernetes, docker, mlflow, ci/cd, public cloud (aws/azure), agentic ai, mlops platform, llmops platform, gpu orchestration, model optimization, inference scaling, enterprise ai governance, ai evaluation frameworks, platform building, storage domain skills, accessibility