Hewlett Packard Enterprise is looking for an AI/ML Intern to help build 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. The role will bring technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.
Requirements
- 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
- 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
- Familiarity with and understanding of design for software systems
- Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or networking
Responsibilities
- 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
Other
- Working towards a Bachelor's and/or Master's degree with a focus in Computer science, Data Science, or other related fields (Master’s degree candidates strongly preferred)
- Great at communicating concepts and results; strong data visualization skills
- Relevant industry experience in data science and machine learning
- This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
