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Hewlett Packard Enterprise (HPE) is seeking a Junior Data Scientist - AI to design, implement, and validate machine learning algorithms on large-scale data for network diagnostics, optimization, and problem-solving. The candidate will be required to work onsite, collaborate with domain experts, and oversee deployment of machine learning solutions. The role emphasizes innovation and integration of emerging technologies into HPE's offerings.
Job Responsibility:
Works with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization
discover new problem signatures in customer networks
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
analyses the feature specifications and determines the required coding, testing, and integration activities
designs and develops moderate to complex cloud application modules per feature specifications adhering to security policies
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 (CI/CD) pipelines to automate cloud applications' management, scaling, and deployment
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 problems.
Requirements:
Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline
typically, 2-4 years’ experience
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, deep learning
great at communicating concepts and results
strong data visualization skills
expert Python coder (PySpark, Scikit-learn)
experience with software engineering best practice
relevant industry experience in data science, machine learning
experience with online learning algorithms, reinforcement learning, semi-supervised learning, or mixed time-series/event streams
experience with Agentic AI
familiarity with wireless and wired networking protocols is a plus.
Nice to have:
familiarity with wireless and wired networking protocols.
What we offer:
comprehensive suite of benefits supporting physical, financial and emotional wellbeing
specific programs catered to helping reach career goals
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