ML & Generative AI Intern: Digital Manufacturing

GlobalFoundries

Singapore

On-site

SGD 17,000 - 26,000

Full time

10 days ago
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Job summary

GlobalFoundries in Singapore is seeking a Machine Learning Intern for the Digital Manufacturing group. You will work on developing and deploying AI/ML solutions, analyzing manufacturing data, and collaborating with data scientists and engineers.

The role offers hands-on mentorship, exposure to MLOps practices, and the opportunity to contribute to real-world AI initiatives. Availability for 16–24 week program starting January 2027; 40-hour weeks.

Qualifications

  • Actively pursuing a Bachelor’s in Computer Science, Data Science, Engineering, or related quantitative field.
  • Familiarity with Python and common data science libraries.
  • Basic understanding of machine learning concepts.
  • Exposure to PyTorch and Scikit-Learn.
  • Ability to work independently and in a team.
  • Must be in good academic standing.
  • Available for a 16–24 week internship commencing January 2027.
  • Ability to work at least 40 hours per week.

Responsibilities

  • Support the AI Integration Team in developing and deploying AI/ML models.
  • Analyze manufacturing data to develop features, insights, and predictive models.
  • Work with highly complex data for feature development using AI/ML models.
  • Collaborate with Digital Manufacturing MLEs, data scientists, and business stakeholders on AI-driven projects.
  • Learn and apply modern AI/ML technologies, software engineering practices, and MLOps concepts.

Skills

Python
Data science libraries
Machine learning concepts
Independent work
Team collaboration

Education

Bachelor’s in Computer Science, Data Science, Engineering

Tools

PyTorch
Scikit-Learn

Job description

GlobalFoundries in Singapore is seeking a Machine Learning Intern for the Digital Manufacturing group. You will work on developing and deploying AI/ML solutions, analyzing manufacturing data, and collaborating with data scientists and engineers.

The role offers hands-on mentorship, exposure to MLOps practices, and the opportunity to contribute to real-world AI initiatives. Availability for 16–24 week program starting January 2027; 40-hour weeks.

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