AI/ML Developer Intern

AI/ML Developer Intern    This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: The AI/ML Developer Intern builds 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. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of AI/ML models. The AI/ML Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's AI/ML services portfolio across multiple systems, platforms, and applications.     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-