Machine Learning Intern, Hewlett Packard Enterprise

Machine Learning Intern

Hewlett Packard Enterprise

Location:
Singapore, Singapore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

This is an internship opportunity at Hewlett Packard Enterprise, designed as an onsite role in Singapore. The intern will work on machine learning models, algorithms, and their integration into products. Additional responsibilities include data preprocessing, optimizing models, maintaining ML pipelines, and staying updated with advancements in AI technologies.

Job 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 modelling
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

Requirements:

Enrolled in University
Able to commence in January 2026
Able to commit minimum 5 months
Knowledge about Machine Learning, Deep Leaning and Gen AI

What we offer:

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs to help achieve career goals
Inclusive work environment valuing individuality and diverse backgrounds

Additional Information:

Job Posted:
September 24, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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