Job Description

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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!

AI/ML DEVELOPER INTERN

Job no:

493691

Work type:

Internship

Categories:

Infocomm Technology, Internship

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.

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.

Takeaways from the internship:

Exposure to the end-to-end AI/ML development cycle, from data preparation to model deployment. Hands-on experience with dashboard and web application development to visualize AI/ML results. Data exploration, processing, model development, and evaluation. Agile software development practices using Azure DevOps for project collaboration and tracking. Experience in cross-functional collaboration and engaging with business stakeholders to align technical outcomes with user needs. Presentation and communication skills to share findings effectively with both technical and non-technical audiences. Time management and prioritization in a fast-paced, collaborative environment.

Please state your full-time availability for the internship at the top of your CV (start and end date). Only shortlisted candidates will be notified.

Advertised:

02 Sep 2025

Applications close:

31 Dec 2025