AI Developer Intern (Masters)

AI Developer Intern (Masters)

  

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

Who We Are:

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. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

Responsibilities:

• Will 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.

Education and Experience Required:

• Currently pursuing a Master's degree in Computer Science, Data Science, Engineering, Applied Mathematics or a related technical field.

Knowledge and Skills:

• 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 is essential

• The complexity and scale of the data pipelines, model integration, and performance optimization tasks require a candidate capable of architecting robust, production-ready solutions that directly impact strategic decision-making across the business.

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Administration

Job Level:

N/A

    

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at