AI/ML Developer 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 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.