Storage AI Engineer
Hewlett Packard Enterprise (HPE)Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deliver enterprise-scale AI and Generative AI solutions for HPE’s Hybrid Cloud storage applications.
Build AI agents, copilots, and workflow automation systems to enhance user productivity and business results.
Implement and optimize Retrieval-Augmented Generation (RAG) architectures, fine-tune machine learning models, and create scalable AI-serving platforms with monitoring and governance.
Minimum Requirements
Bachelor's or master's degree in computer science, engineering, or a closely related quantitative discipline.
3-5 years of relevant work experience in AI/ML and software engineering.
Proficiency in Python, SQL, Java or Go, and experience with PyTorch, Scikit-learn, LangChain, and Generative AI technologies like GPT and RAG.
Ability to work hybrid with on-site presence approximately 2 days per week at an HPE office.
Ideal Candidate Profile
Experience bridging machine learning research and production software engineering, especially in AI-powered storage/cloud products.
Proficient operating in cloud environments (AWS/Azure), container orchestration (Kubernetes, Docker), and MLOps/LLMOps practices.
Demonstrated ability to innovate and lead AI adoption in enterprise-scale, product-focused settings integrating advanced AI (LLMs, agents) into real-world applications.