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The batch #2 AI Apprenticeship Programme will end in 

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About AI Singapore's Talent Portal

AI Singapore’s Talent Portal aims to connect potential employers looking for AI talent to apprentices from the AI Apprenticeship Programme. Employers may post your AI-related job opportunities on this portal where interested apprentice(s) can apply directly. 

Please note that this is open to Singapore-based companies only. If you are representing a recruitment agency, please contact us here

Structure of the AI Apprenticeship Programme

Selection

All AI Apprentices have succeeded in a 3-stage evaluation process before they are accepted into the programme: Resume Screening, Technical Assessment and In-person Interview

The Programme

The programme comprises of 2 months deep-skilling curriculum focused on AI programming and deployment, followed by working on a 100E industry project for the remaining 7 months.​

Industry

At the end of the programme, the apprentices are certified as AI Engineers and will be fully equipped to design, build, train and deploy an AI model end to end.

AI Apprentices (Batch 2)

Alvin LEONG

Area of Interest: Natural Language Processing, GANs, Functional Programming, Business Development scraping
Background: B.A. (Hons) in Philosophy, Politics and Economics (University of Manchester)

Daniel NG

Area of Interest: Machine Learning
Background: PhD in Civil and Environmental Engineering

Deepan BALA

Area of Interest: Financial Analysis using Machine Learning
Background: Bachelor of Engineering Science (NUS), Software Engineering

Delon LEONARD

Area of Interest: Locational Analytics and Computer Vision
Background: Masters in Urban Planning (NUS)

Di Qiang YEOW

Area of Interest: Anomaly (AML/Fraud) Detection, Tensorflow 2.0, Agile Scrum
Background: Bachelor of Chemical Engineering (NUS)

Dhruv VERMA

Area of Interest: Machine Learning
Background: Bachelor of Science in Electrical and Computer Engineering (University of Austin)

Fu Nan TAN

Area of Interest: Data Analytics, Software Engineering
Background: Bachelor of Science in Business Analytics (NUS)

Gary NG

Area of Interest: Natural Language Processing, Computer Vision and Biomedical Imaging
Background: Bachelor of Engineering in Computer Science (NTU), Masters of Technology in Intelligent Systems (NUS, grad in 2020)

Jieqi TONG

Area of Interest: Machine Learning
Background: Bachelor of Computer Science (NUS)

Jin Jun JWAY

Area of Interest: Data Analysis, Interpretable AI, and Optimisation
Background: Bachelor of Engineering in Information Systems and Technology (SUTD)

John ANG

Area of Interest: Machine Learning, Deep Learning, Operations research, Causality analysis
Background: Bachelor of Science in Finance (NYU)

Kah Jun HONG

Area of Interest: Signal Processing and Machine Learning
Background: PhD in Electrical and Electronic Engineering (NTU)

Basil HAN

Area of Interest: Computer Vision, Natural Language Processing, Adversarial Machine Learning, Time Series Modeling, Actualising Value from Research
Background: Masters of Engineering (NUS)

Thiam Chye KOH

Area of Interest: Machine Learning, Deep Learning and Reinforcement Learning
Background: Masters in Industrial and Systems Engineering (NUS)

Laiyi LIN

Area of Interest: Machine Learning, Deep Learning, Natural Language Processing, Unsupervised Learning
Background: PhD in Bioengineering (NUS)

Ghim Siong LIM

Area of Interest: Machine Learning
Background: Bachelor of Mechanical Engineering, Masters of Science (Statistics) (NUS)

Mohamed Hanifa

Area of Interest: Natural Language Processing, Machine Learning/Deep Learning
Background: Bachelor of Engineering (Computer) (NUS)

Raymond TAY

Area of Interest: Applications of AI, AI Engineering, Product Design, Deep Learning
Background: Bachelor of Science, Chemistry (NTU), Postgraduate Diploma in Systems Analysis (NUS)

Shirlene LIEW

Area of Interest: Healthtech AI, Machine Assisted Decision Making, Product Innovation, Design Thinking
Background: M.S. in Mechanical Engineering (Stanford University),
Sc.M in System Design and Management (MIT),
M.Eng. (Research) in Engineering Systems and Design (SUTD)

Sidney TIO

Area of Interest: Computer Vision, Transport Optimisation, Explainable AI
Background: Bachelor of Social Sciences, Psychology (NUS)

Jun Xiong TAN

Area of Interest: Machine Learning, Deep Learning (Image/Text Generation), Digital Factory, Enterprise AI
Background: Bachelor of Engineering (Chemical Engineering) (NUS)

Tern Poh LIM

Area of Interest: Digital Transformation, Digital Strategy, and Data Science Evangelist
Background: Bachelor of Business Management in Finance, International Trading (SMU), Advanced Diploma in Biomedical Sciences (Republic Polytechnic)

Wee Tee SOH

Area of Interest: Reinforcement Learning, Natural Language Processing, Computer Vision
Background: PhD in Physics (NUS)

Lik Khian YEO

Area of Interest: Natural Language Processing, Computer Vision, Deep Learning, Machine Learning, Remote Sensing
Background: PhD in Civil and Environmental Engineering

Yu Xuan LEE

Area of Interest:  Statistical Learning and
Computer Vision
Background: Bachelor of Mechanical Engineering (NUS)

Employers

Submit your job openings!

  • Please submit ONLY Artificial Intelligence (AI), Machine Learning, Data Science-related jobs openings.
  • We will only accept submissions from companies. If you are representing a recruitment firm, please contact us at contact@aisingapore.org.

Fees

  • There is no fees involved.
  • The talent portal provides access to the AI Apprentices at no cost to all stakeholders in order to contribute to AI talent recruitment and the ecosystem.

Testimonials

Frequently Asked Questions

Most frequent questions and answers

Who can post a job opening?

We currently accept job postings from companies and government agencies in Singapore who are looking for AI/ML/Data Engineers and Scientists. If you are a recruitment firm or headhunter, please contact AI Singapore first!

Who are the apprentices?

The AI Apprentices are Singaporeans who are in the programme to deepen their AI/ML skills. The AI Apprenticeship Programme is  a deep-skilling programme. You can expect the AI Apprentices to be highly competent in designing, programming and building AI/ML models. 

How come I cannot see my job posting?

AI Singapore curates all job posting, and only approved  job postings will be displayed within 3-5 business days. AI Singapore reserves the right to reject your submission.

Who can submit a resume?

We are supporting our AI Apprentices only. We will not be accepting applications from candidates outside of the AI Apprenticeship Programme.

Can I contact the apprentices directly without a job posting?

No. If an apprentice is interested in your job role, he or she will apply for it via this portal. You can then follow-up as per normal interview/hiring process.

What AI tools and frameworks would the apprentices know?

Most of the projects done by the apprentices would be built in Python and using frameworks such as Tensorflow/Keras, PyTorch. They would also have built their tools on platforms such as Microsoft Azure Cloud and Spark/Databricks.

Do I have to pay to submit a job listing?

There are no costs. Our goal for this portal is to help match industry to our AI Apprentices.

We need AI Scientist and not engineers!

Some of our AI Apprentices do hold Masters and/or PhDs in disciplines such as Engineering, Mathematics and Statistics. Upon completion of the AI Apprenticeship Programme, we would consider them as a junior AI/Data Scientist.

Stay in touch!

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