Overview
The Data Engineering & ML Intern will support Data Engineers and ML Engineers across data pipeline operations, machine learning workflows, and automation activities. This internship provides hands-on exposure to cloud-based data pipelines, applied machine learning support, and operational analytics within the organisation.

*Key Responsibilities*
• Support data pipeline operations, including data collection, validation, cleaning, cataloging, and processing on cloud platforms.
• ⁠Assist in data governance activities, including labelling datasets and metadata, and supporting documentation of data pipelines and reporting solutions to improve data visibility and usability.
• ⁠Assist with machine learning workflows through exploratory data analysis, feature engineering, dataset versioning, and experiment management.
• ⁠Contribute to automation initiatives, including Python-based data preprocessing, dashboard development, data flows, and operational insights.
• ⁠Provide general technical support and assist with ad hoc data, analytics, and operational tasks as required by the team.

*What You Will Learn*
• Fundamentals of cloud data engineering and data pipeline operations.
• ⁠Practical skills in Python-based data processing, automation, and analytics.
• ⁠How machine learning workflows are supported through data preparation, feature engineering, and experiment tracking.
• ⁠How Data Engineers and ML Engineers collaborate in delivering end-to-end data and ML solutions.
• ⁠Best practices for documentation, dashboards, and operational support in a production environment.

*Requirements*

*Perks*
Free parking, LRT shuttle, subsidised meal, gym, etc.

*Contact*
📩arisha.norizam@sdguthrie.com

• Currently pursuing a degree in Data Science, Computer Science, AI/ML, IT, Engineering, or a related field.
• ⁠Basic knowledge of Python; familiarity with data processing or analytics concepts is a plus.
• ⁠Interest in data engineering, machine learning, and cloud technologies.
• ⁠Strong analytical mindset, attention to detail, and willingness to learn.
• ⁠Ability to work collaboratively in a fast-paced team environment.