Engineering Intern (AI Applications)

Senoko Energy

Singapore

On-site

SGD 16,740 - 33,480

Full time

14 days+
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Benefits offered by this job

Structured career development
Continuous training
Scholarships

Job summary

A leading energy company is offering an internship in AI Applications in Singapore. This full-time role lasts for 6 months, focusing on developing AI training materials for the Engineering division. Interns will gain hands-on experience in AI learning content development, collaborate with team leads, and design training programs. The ideal candidate should be an undergraduate in Data Science, Computer Science, or Engineering with knowledge of AI and Python programming. This internship presents a significant opportunity to build career skills and contribute to organizational growth.

Qualifications

  • Undergraduate student in Data Science, Computer Science, Engineering (Computing, Electrical, Systems, or related).
  • Experience and knowledge in Artificial Intelligence and Python programming.

Responsibilities

  • Collaborate with team leads and subject-matter experts to restructure AI Awareness Training modules.
  • Design and develop an AI training and certification program.
  • Support training delivery and AI-related projects.

Skills

Artificial Intelligence
Python programming
Deep learning
AI/ML model development
Communication skills
Organisational skills

Education

Undergraduate student in Data Science, Computer Science, or Engineering

Job description

Join our family in powering the nation. Be part of an inclusive, positive workplace where people come first. We support your growth with structured career development, continuous training, and clear pathways to advance. With scholarships and long‑term opportunities, you can build a meaningful career while helping power the nation’s future.

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
  • Minimum 6 months
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