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 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.

Additional Perks
Free parking, shuttle from LRT provided, subsidised meal card, gym, etc.

Interested students may contact azimuddin.ahmad@sdguthrie.com for further details.

• 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.