| Requirements: |
| (a) | A recognised degree in Information Technology, Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field, preferably with a post-graduate qualification |
| (b) | A high level of proficiency in both English and Chinese, preferably including Putonghua |
| (c) | A good team player and able to work independently and work under pressure |
| (d) | Good records of linkage with industry / professional bodies or with solid industrial experience would be an advantage |
| (e) | Good knowledge of AI application development and/or mobile application development is preferred |
| (f) | Preferably with relevant teaching and/or industry experience in the specialisms mentioned below: |
| (i) | Good knowledge and solid experience in Artificial Intelligence (AI), machine learning and deep learning technologies |
| (ii) | Good knowledge and solid experienced in data science and big data technologies |
| (iii) | Preferably with knowledge and experience in one or more of the following skillsets: Python, C++, R, Scikit-learn, PyTorch, TensorFlow, OpenCV, LangChain, LlamaIndex, Agentic AI or Cloud AI services and |
| (g) | Preferred Qualifications (Mandarin Proficiency): |
| (i) | Native Mandarin speaker or |
| (ii) | Hold a bachelor's degree or higher where the medium of instruction was Mandarin or |
| (iii) | Have at least 3 years of work experience in mainland China or other Mandarin-speaking countries / regions or |
| (iv) | Have passed the Mandarin Proficiency Test with a score of at least Level 3B () or above. |
| | |
| Notes: |
| (1) | The post is at the rank of Teaching Associate. |
| (2) | Applicants with substantial experience and achievements in the relevant field but without the required academic / professional qualifications OR those with exceptional academic / professional qualifications but with less experience may also apply. |
| (3) | Shortlisted candidates will be required to take a written assessment. |
| (4) | The appointee(s) may be required to perform duties outside normal office hours and in designated places as assigned. |
