Experienced AI Engineer for Storage Domain

About the job

Data Intelligence Job Description In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE... What you'll do: Responsibilities- • Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit. • Design and develop solutions leveraging patterns in the data and metadata stored in Petabytes of Objects and Files in distributed fashion across enterprise storage platform. • Design, develop, and deploy hybrid RAG architectures integrating LLMs with retrieval-based systems for improved relevance and contextual responses. • Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership. • Translating technical AI findings into clear, business-oriented language for non-technical stakeholders to support AI-driven business strategies. ....

Requirements

• AI
• ML
• deep learning
• TensorFlow
• Python
• NLP
• REST API development
• NoSQL database design

Qualifications

• Bachelor's or master's degree in computer science
• Information Systems or equivalent

Preferred Technologies

• AI
• ML
• deep learning
• TensorFlow
• Python
• NLP
• REST API development
• NoSQL database design

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion

About the company

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.