AI/ML Developer Intern at PSA Singapore
Singapore 117352, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Model Development, Dashboard, Python, Artificial Intelligence, Machine Learning, Power Bi, Django, Computer Science, Data Processing

Industry

Information Technology/IT

Description

We are the World’s Port of Call. Our winning formula is our People.
In our continuing journey to build great teams, we are looking for passionate individuals driven by a strong sense of purpose. It is only with the determination and commitment of our People that we can serve our customers, lead our industry and contribute to our nation to create new possibilities.
Working Alongside, we can deliver extraordinary results together! Join #TeamPSA today!

REQUIREMENTS:

  • Currently pursuing a Degree in Computer Science, AI or relevant field
  • Able to commit to a full-time internship (Jan - May 2026)
  • Proficiency in Python and data & dashboard web develoment (e.g. Streamlit, Dash, Django)
  • Proficiency in Python and Jupyter Notebook for data processing and model development.
  • Knowledge in Artificial Intelligence, Machine Learning, and Large Language Models (LLM).
  • Ability to communicate effectively and present results and findings.
  • Prior experience with Power BI is preferred.
  • Hands-on experience with one or ML libraries (e.g., Scikit-learn, XGBoost) is preferred.

How To Apply:

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Responsibilities
  • Collaborate with Data Scientists and Data Engineers throughout the data pipeline, including data collection, preprocessing, and quality assessment to ensure high-quality datasets for model training.
  • Contribute to the development of Data Analysis and Machine Learning models for tasks such as Predictive Analytics, Computer Vision, and Generative AI.
  • Participate in ongoing data science/machine learning Proof-of-Concept (POC) projects, including the development of interactive dashboards or web applications to present key insights and outcomes from AI/ML models.
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