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.

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.