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
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