AI Developer Intern (Masters) at Hewlett Packard Enterprise

Houston, Texas, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

TechnologyIndustries

Requirements

Currently pursuing a Master's degree in Computer Science, Data Science, Engineering, Applied Mathematics or a related technical field
Strong coding proficiency in Python and SQL
Deep understanding of algorithmic thinking, data structures, and statistical modeling
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
Familiarity with large language models (LLMs), prompt engineering, fine-tuning techniques, and AI evaluation methodologies
Capable of architecting robust, production-ready solutions for complex and large-scale data pipelines, model integration, and performance optimization

Responsibilities

Lead and contribute to the development of AI-driven analytics solutions focused on business performance and sales optimization
Work extensively with Databricks for scalable data engineering and Azure cloud services for model deployment, orchestration, and monitoring
Translate business requirements into scalable and performant technical solutions
Design, code, test, and assure the quality of complex AI-powered product features
Partner with a highly motivated and talented set of colleagues
Be a motivated, self-starter who can operate with minimal handholding
Collaborate across teams and time zones, demonstrating flexibility and accountability

Skills

Key technologies and capabilities for this role

PythonSQLDatabricksAzureTensorFlowPyTorch

Questions & Answers

Common questions about this position

Is this position remote or onsite?

This role is designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.

What skills are required for this AI Developer Intern role?

Required skills include strong coding proficiency in Python and SQL, deep understanding of algorithmic thinking, data structures, and statistical modeling, familiarity with machine learning frameworks like TensorFlow and PyTorch, and knowledge of large language models, prompt engineering, fine-tuning, and AI evaluation.

What is the company's culture like?

HPE's culture thrives on finding new and better ways to accelerate what’s next, values varied backgrounds, offers flexibility to manage work and personal needs, embraces bold moves together, and is unconditionally inclusive celebrating individual uniqueness.

What education is required for this internship?

Candidates must be currently pursuing a Master's degree in Computer Science, Data Science, Engineering, Applied Mathematics or a related technical field.

What makes a strong candidate for this role?

A strong candidate is a motivated self-starter who can operate with minimal handholding, lead and contribute to AI-driven solutions, work extensively with Databricks and Azure, and collaborate across teams and time zones with flexibility and accountability.

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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