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Machine Learning Intern

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Hewlett Packard Enterprise

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Location:
Singapore , Singapore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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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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