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Principal Engineer, Storage Data Science and Analytics at Hewlett Packard Enterprise - ApplyBlast

Principal Engineer, Storage Data Science and Analytics

Hewlett Packard Enterprise

3 months ago

4.8 on Glassdoor

Bengaluru, Karnātaka, India

Onsite

Full Time

Senior

0 applicants

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About this role

As a Principal Engineer for Storage Data Science and Analytics, you will serve as the premier technical authority bridging advanced machine learning, GenAI, and big data analytics with HPE's next-generation cloud and storage ecosystem. You will lead the architectural strategy to extract intelligence from vast telemetry data pipelines, design predictive AI models for storage optimization, and integrate advanced LLM workflows into cloud products. This role requires fostering cross-functional collaboration while mentoring senior engineers and data scientists across multiple Scrum teams.

Responsibilities

Define organization-wide data architecture strategy and analytical roadmaps
Develop predictive and generative AI models for storage optimization
Design and scale machine learning code for worldwide production environments
Integrate advanced LLM workflows into storage customer support analytics
Mentor senior engineers and foster innovative technical communities

Skills

Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or Mathematics

About Hewlett Packard Enterprise

hpe.com

Headquarters

The Woodlands, Texas, United States

Company Size

10001+ employees

Founded

1939

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