AI/ML Intern

Hewlett Packard EnterpriseSan Jose, CA
14d$35 - $46Hybrid

About The Position

The Cloud Developer builds from the ground up to meet the needs of mission-critical applications and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.

Requirements

  • Working towards a Bachelor's and/or Master's degree with a focus in Computer science, Data Science, or other related fields (Master’s degree candidates strongly preferred)
  • Familiarity with and understanding of design for software systems
  • Proficient Python coder (PySpark, Scikit-learn), experience with software engineering best practices
  • A basic understanding of Object-Oriented Programming (OOP)
  • Strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing, causal inference, and deep learning
  • Great at communicating concepts and results; strong data visualization skills

Nice To Haves

  • Relevant industry experience in data science and machine learning
  • Experience with online learning algorithms, reinforcement learning, semi-supervised learning, or mixed time-series/event streams
  • Familiarity with GenAI and large language models (LLMs). Agentic AI is a plus

Responsibilities

  • Collaborate with cross-functional teams to design, develop, and implement cloud solutions tailored to meet business needs.
  • Works with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization
  • Design, implement, and validate machine learning algorithms on big data
  • Guide and oversee deployment of implemented machine learning solutions and monitor their operation
  • Use Agentic AI to solve networking problems
  • Identifies, debugs and creates solutions for issues with code and integration into application architecture
  • Develops and executes comprehensive test plans for features adhering to performance, scale, usability, and security requirements.
  • Deploy cloud-based systems and applications code using continuous integration/deployment pipelines
  • Contributes towards innovation and integration of new technologies into projects
  • Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or networking

Benefits

  • 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.
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