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Internship – AI Applications (Engineering)
Function: Engineering
Focus: Artificial Intelligence (AI) Applications
Internship Type: Full‑time (6 months)
Location: Singapore (Hybrid)
About the Role
We are seeking a highly motivated intern to support the development of AI Awareness Training materials and programmes for the Engineering, Maintenance & Operations (EMO) division. This role offers hands‑on experience in creating AI learning content and contributing to organisational capability‑building in emerging technologies. The intern will be attached to the Engineering team and will play a key role in curating, designing and delivering AI‑related training modules for internal stakeholders.
Key Responsibilities
- Collaborate with team leads and subject‑matter experts to:
- Restructure and enhance existing AI Awareness Training modules, ensuring clarity, relevance and practical application for EMO employees
- Design and develop an AI training and certification program hosted on Senoko’s Learning Management System (LMS)
- Support training delivery and work on assigned AI‑related projects throughout the internship
Requirements
Academic Background
- Undergraduate student in:
- Data Science
- Computer Science
- Engineering (Computing, Electrical, Systems, or related)
Technical Skills
- Experience and knowledge in:
- Artificial intelligence and Python programming, including deep learning, AI/ML model development, Autoencoders, GAN/VAE, SVM, LSTM, RNN, Isolation Forest and decision trees.
What You Will Gain
- Experience contributing to AI capability‑building within an engineering and operations‑focused environment.
- Opportunities to apply AI and programming skills to real organisational training needs.
- Exposure to content development, instructional design, and digital learning tools.
- Development of communication, collaboration, and presentation skills through training delivery and project involvement.
Ideal Candidate Profile
- 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.
Duration