Responsibilities
Collaborate with cross-functional teams to design, develop, and implement AI/ML 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 AI/ML 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
Education & Experience required
Working towards a Bachelor's and/or Master's/PhD 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
Accessibility
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.
What We Can Offer You
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.
Let's Stay Connected
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
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Job
- Administration
- Job Level:
- N/A
- "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Hourly Salary USD 35.00 - 41.00 in California
- The listed salary range reflects base salary. Variable incentives may also be offered."
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
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.
Recruitment Fraud Alert
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.
