BA
Building and Construction Authority
AI Engineer

Lecturer (Applied Artificial Intelligence) / School of Informatics & IT

On-siteMidAI Engineerposted 1mo ago
Role summaryAI-generated

This role blends academic instruction with hands-on AI application, focusing on teaching advanced computer vision techniques and guiding student projects in deep learning and visual recognition systems. The position emphasizes practical pedagogy, curriculum development, and staying current with emerging AI advancements in a government-affiliated educational setting.

Skills required

About this role

[What the role is]

Lecturer (Applied Artificial Intelligence) / School of Informatics & IT

[What you will be working on]

  • Deliver lessons in both face-to-face and online formats for full-time and/or part-time courses.
  • Design, develop, and update teaching materials and assessments, with a focus on practical applications of Computer Vision such as image processing, object detection, facial recognition, and video analytics.
  • Supervise student projects and foster independent learning in areas including deep learning for vision, visual recognition systems, and multi-modal AI.
  • Evaluate student assignments and academic performance, providing constructive feedback to support learning outcomes.
  • Mentor and coach students to enhance their academic and professional development.
  • Stay informed about the latest trends and advancements in Computer Vision, Machine Learning, and Artificial Intelligence.
  • Collaborate with colleagues and industry partners on AI and Computer Vision-related projects, contributing to applied research and innovation.

[What we are looking for]

  • Possess relevant academic qualifications in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
  • Minimum of 2 years of professional experience in application development and/or Artificial Intelligence, with demonstrated expertise in Computer Vision, including: image and video analysis, pattern recognition, and visual perception tasks.
  • Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, applied to vision models (e.g., convolutional neural networks, object detection, image segmentation).
  • Proficiency with open-source Computer Vision libraries such as OpenCV or equivalent.
  • Skilled in at least two programming languages (e.g., Python, Java, C#, JavaScript), with strong proficiency in Python preferred.
  • Passionate about sharing knowledge and engaging with both youth and adult learners.
  • Excellent communication and interpersonal skills.
  • A collaborative team player with the ability to work effectively with colleagues and industry partners.
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