AI Developer Intern (Masters) at Hewlett Packard Enterprise

Houston, Texas, United States

Hewlett Packard Enterprise Logo
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

Python
SQL
Databricks
Azure
TensorFlow
PyTorch

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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