Ai/ml Developer Intern

2 weeks ago

Queenstown, Singapore PSA Singapore Full time

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

**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.

**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.
- 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.

**Advertised**: 02 Sep 2025
**Applications close**: 31 Dec 2025

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