Cloud Developer Intern

• →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

• 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

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

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.

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.

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.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.