AI/ML Developer Intern

PSA Singapore

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profile Job Location:

Singapore - Singapore

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

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.


Required Experience:

Intern

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 suc...
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