Storage AI Specialist
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 and build production-grade AI and Generative AI solutions including large language models (LLMs) and AI agents to improve productivity and business outcomes.
Implement and optimize Retrieval-Augmented Generation (RAG) architectures and fine-tune machine learning and foundation models for performance, safety, and cost.
Build scalable APIs and platforms for AI models in production and establish monitoring and governance for responsible AI deployment.
Minimum Requirements
Bachelor's or master's degree in computer science, engineering, or a related quantitative discipline.
6-9 years of relevant work experience in AI/ML and software development.
Proficiency in Python, SQL, Java or Go and experience with AI/ML frameworks such as PyTorch, Scikit-learn.
Experience with Generative AI technologies including GPT, Claude, Llama; prompt engineering; RAG; vector databases; cloud platforms (AWS/Azure); Kubernetes; Docker; MLflow; and CI/CD.
Ideal Candidate Profile
Experienced in building and scaling AI platforms that support multiple AI products and teams, demonstrating operational maturity in AI deployment.
Technical depth in advanced AI techniques such as fine-tuning, prompt engineering, agentic AI, and generative AI workflows.
Familiarity with storage domain concepts (block/object/file storage) and MLOps/LLMOps, including GPU orchestration and inference scaling.