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
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
Keep up with the latest industry knowledge and the possibilities of what AI/ML engineers can achieve!-
Entry RequirementsEntry 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!
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Possible PathwayPossible Pathway
Skills you need to pursue an Artificial Intelligence/ Machine Learning (AI/ML) Engineer career in Singapore
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
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.Related Job Roles
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