Cloud Developer Intern

Hewlett Packard Enterprise•San Jose, CA

9d•$55 - $63•Onsite

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, Mathematics, Physics, Statistics 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
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