AI/ML Intern

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. The AI/ML Intern will collaborate with cross-functional teams to design and implement cloud solutions, while also working on machine learning problems related to network diagnostics and optimization.

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

Skills

• Working towards a Bachelor's and/or Master's degree with a focus in Computer science, Data Science, or other related fields
• 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
• 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
• Master's degree candidates strongly preferred
• Familiarity with GenAI and large language models (LLMs). Agentic AI is a plus

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion

Company Overview

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