Please Note
- An estimate based on public data for similar roles. Not provided by the employer.
AI Engineer (AIAP)
Role summary
Written by MyIslandJob from the job title and employer. See the employer's page for the full description.
The AI Engineer (AIAP) role involves designing, developing, testing and deploying artificial intelligence or machine-learning solutions for practical applications. Candidates are generally expected to have a degree or strong background in computer science, engineering, mathematics or a related discipline, together with programming experience, especially in Python. Familiarity with machine learning frameworks, data analysis, software development practices and version control is valuable. The role requires analytical thinking, problem-solving ability and the capacity to work collaboratively with researchers, technical teams and business stakeholders. Candidates should be willing to learn quickly, communicate clearly and translate AI concepts into reliable, scalable solutions. Experience with deep learning, cloud platforms or relevant projects is advantageous.
Can I work in Singapore?
Never pay anyone for a visa or a job offer. A real employer pays the permit costs and never asks you for money.
How it works
How it works: Employment Pass: SGD 5,600+ a month at 23 (6,000 from January 2027), more with age, plus 40 COMPASS points; a degree from a top-tier university scores 20 of them.
Before you apply: Schools want a degree and often a teaching qualification, and some places license teachers before you can teach: schools maintained by councils in England, and schools in Hong Kong, New Zealand and Thailand. Ask which licence your post needs.
Watch for: The post is usually advertised to locals for 14 days first; teacher aides and infant caregivers in licensed childcare centres are on the Work Permit list for South Asians and Filipinos since September 2026.
Official source: Ministry of Manpower: COMPASS points framework. Checked November 2026.
What the job usually comes with in Singapore
Usual for Education jobs in Singapore, varies by employer. Checked November 2026.
| Housing | Not usual; senior expats may get an allowance; Work Permit staff: employer must ensure proper housing (by law) |
|---|---|
| Relocation | Work Permit staff: employer pays levy, bond and insurance (by law); relocation help is an expat perk |
| Flights | Work Permit staff: flight home paid by the employer (by law); others only if the offer says so |
| Contract | Work Permit up to 2 years; S Pass and Employment Pass up to 2, then 3; notice 1 day to 4 weeks by default |
| Leave | 7 to 14 days (by law; many get more); 11 public holidays; 14 days' sick leave, 60 in hospital |
| Income tax | 0% up to SGD 20,000 a year, then 2% to 24% (about 3% at SGD 60,000); resident rates on a 1-year pass |
| Health cover | Employer must insure Work Permit and S Pass staff, SGD 60,000 a year (by law); Employment Pass: company plan |
Senior staff often get more than line staff, for example a single room or a yearly home flight. Ask the employer what the job includes before you accept.
Guidance, not legal advice. Rules change; your employer confirms the details for your case.
About Nanyang Technological University
Nanyang Technological University (NTU Singapore) is a major research-intensive university located in the western part of Singapore. It is internationally recognised for engineering, technology, science, business, education and interdisciplinary research, and is home to a diverse community of students, academics and professional staff. NTU works closely with industry, government agencies and international partners to develop research and innovation with real-world impact. Its campus includes advanced laboratories, learning facilities, residential halls and extensive sustainability initiatives. The university supports careers across research, teaching, administration, technology and professional services. An AI Engineer may work within an environment that combines academic research, applied innovation and institutional technology, with opportunities to collaborate across disciplines and contribute to projects involving artificial intelligence, data and digital transformation.