Job Description

Machine Learning Engineer - InternThis role has been designed as \xe2\x80\x98\xe2\x80\x99Onsite\xe2\x80\x99 with an expectation that you will primarily work 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\xe2\x80\x99s complex world. Our culture thrives on finding new and better ways to accelerate what\xe2\x80\x99s next. We know diverse 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.:Responsibility :

• Design, develop, and implement machine learning models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into products.
• Preprocess and analyze large datasets to extract meaningful insights and prepare data for modeling.
• Optimize and fine-tune machine learning models to enhance performance, accuracy, and efficiency.
• Conduct experiments and evaluate various machine learning techniques to identify the best approaches for specific use cases.
• Develop and maintain scalable ML pipelines and infrastructure for deploying models in production environments.
• Stay updated with the latest advancements in machine learning, artificial intelligence, and related technologies.
• Write clear, maintainable code and create comprehensive documentation for ML models and processes.
• Monitor and troubleshoot deployed models, ensuring they perform as expected in real-world settings.
• Communicate findings, progress, and results to stakeholders through reports, presentations, and visualizations.

Education and Experience Required:

• Enrolled in University.

Knowledge about Machine Learning, Deep Leaning and Gen AIAdditional Skills: Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Service And Support Planning {+ 6 more}What We Can Offer You:Health & WellbeingWe 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 DevelopmentWe 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 \xe2\x80\x94 whether you want to become a knowledge expert in your field or apply your skills to another division.Diversity, Inclusion & BelongingWe are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse 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 on Instagram to see the latest on people, culture and tech at HPE.Job: AdministrationJob Level: N/AHPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: .Hewlett Packard Enterprise is EEO F/M/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.

Hewlett Packard Enterprise