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Artificial Intelligence/Machine Learning (AI/ML) Engineer

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AI/ ML Engineers design machine learning systems and apply algorithms to generate accurate predictions. They resolve data set problems and develop self-running AI software.

Artificial Intelligence/ Machine Learning Engineer Job Description
  • Design and develop machine learning and deep learning systems to automate predictive models.
  • Run machine learning tests and experiments.
  • Implement appropriate machine learning algorithms.
  • Perform statistical analysis and optimise existing machine learning libraries or frameworks.
  • Train and retrain machine learning systems.
  • Run tests, perform statistical analysis, and interpret test results.
  • Keep up-to-date with developments in machine learning.

Note

Social media platforms such as Facebook and Instagram use AI/ML technology to learn users' behaviours and preferences in content.
What you should know about Artificial Intelligence/ Machine Learning (AI/ML) Engineer jobs in Singapore
Nature of Work

Nature of Work

AI/ML engineering impacts the future of almost every industry and everyone's lives. It is a fast-growing industry that needs constant updates.
Key Advice

Key Advice

Keep up with the latest industry knowledge and the possibilities of what AI/ML engineers can achieve!
  • Entry Requirements
    Entry Requirements
    • Minimally, a bachelor's degree in Computer Science, Engineering, or equivalent.
    • Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision-making. It is good to be familiar with deep learning frameworks such as TensorFlow, PyTorch, MXNet, Microsoft Cognitive Toolkit, or equivalent to boost your chances of getting hired!
  • Possible Pathway
    Possible Pathway
    3AIML Engineer
Skills you need to pursue an Artificial Intelligence/ Machine Learning (AI/ML) Engineer career in Singapore
Hard Skill Hard Skills

Statistical Skills

Understanding probability, hypothesis testing, and data distributions.

Programming Languages

Must be proficient in Python, R, or Java to write algorithms and process data.

Data Science

Extract insights from large datasets using data mining, processing, and visualisation.

Business Needs Synthesis

Understand and translate business problems into data-driven solutions.

Project Management

Oversee the development lifecycle of projects and coordinate between technical teams.
Soft Skills Soft Skills

Communication

Effectively communicate complex technical concepts to non-technical stakeholders to ensure clarity.

Collaboration

Work closely with Data Scientists, Software Developers, and business teams.

Problem-Solving

Solve complex problems and develop innovative algorithms and models to tackle challenges.

Transdisciplinary Thinking

Integrate knowledge from various fields, applying a holistic approach to design.

Leadership

Guide teams through technical challenges and make strategic decisions.
Frequently asked questions (FAQs)
  • What is the difference between AI/ML Engineers and Data Scientists?
    AI/ML Engineers specialise in coding and deploying complex, large-scale machine learning products. In contrast, Data Scientists focus on analysing data to provide business insights.
  • Where do AI/ML Engineers find work in Singapore?
    AI/ML Engineers find opportunities in various industries, with big tech companies like Google, Apple, and Amazon offering numerous career options in AI/ML.
  • How do AI/ML Engineers evaluate an AI's performance?
    There are several ways to evaluate an AI's performance. AI/ML Engineers assess how accurately the AI model performs the given task, use cross-validation to minimise overfitting and provide more reliable performance evaluation. 
  • How do AI/ML Engineers ensure that the results obtained from the AI model are reliable?
    One of the many ways is to conduct data quality assessments, where the Engineers thoroughly analyse and assess the quality of the data used to train and validate the AI model.
  • What tools do AI Engineers in Singapore use for their job?
    AI Engineers use a variety of tools for their job, some of which are programming languages like Python and Java, Machine Learning Libraries like TensorFlow.

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