About the role

AI summarised

The Engineering Intern (AI Applications) will support the development and delivery of AI training programs for employees, working with team leads and subject-matter experts to enhance training modules, design certification content, and assist in AI-related projects. The role involves applying AI and programming skills to real-world organizational learning needs while gaining experience in instructional design and digital learning tools. Ideal candidates are undergraduate students in technical fields with strong AI and Python knowledge, good communication skills, and the ability to work independently.

UtilitiesOnsiteEngineering

Key Responsibilities

Restructure and enhance existing AI Awareness Training modules, ensuring clarity, relevance and practical application for EMO employees
Support training delivery and work on assigned AI-related projects throughout the internship

Requirements

Undergraduate student in Data Science
Undergraduate student in Computer Science
Undergraduate student in Engineering (Computing, Electrical, Systems, or related)
Experience and knowledge in Artificial intelligence and Python programming
Experience and knowledge in deep learning
Experience and knowledge in AI/ML model development
Experience and knowledge in Autoencoders
Experience and knowledge in GAN/VAE
Experience and knowledge in SVM
Experience and knowledge in LSTM
Experience and knowledge in RNN
Experience and knowledge in Isolation Forest
Experience and knowledge in decision trees
Strong interest in AI applications and education
Good organisational skills with attention to detail
Independent, proactive, and able to work with minimal supervision
Strong communication skills and willingness to collaborate with both technical and non‑technical colleagues