Senior AI/ML Engineer for Smart Transport MVPs

Land Transport Authority

Singapore

On-site

SGD 90,000 - 130,000

Full time

6 days ago
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Job summary

The Land Transport Authority (LTA) in Singapore is seeking an executive AI/ML engineer to drive AI/ML adoption across intelligent transport systems. You will develop prototypes and MVPs to improve the traffic and transport experience for commuters.

You will design, build, deploy and maintain AI solutions across CV, Generative AI, and Agentic AI, build data pipelines, and collaborate with data scientists, software engineers and business stakeholders to deliver impactful results.

Qualifications

  • 3+ years of experience in AI/ML, Data Science, or cloud application development.
  • Experience with NLP, CV, Large Language Models, or generative/agentic AI.
  • Hands-on experience with DevOps practices and Agile development.
  • Experience with large-scale data pipelines and cloud solution architecture.

Responsibilities

  • Design, build, deploy, and maintain AI solutions across CV, Generative AI, and Agentic AI.
  • Develop and optimise ML algorithms for diverse use cases.
  • Design robust data pipelines to support AI applications at scale.
  • Collaborate with data scientists, software engineers, domain experts, and stakeholders.
  • Engage users iteratively to refine features and align with operational needs.
  • Evaluate emerging technologies and contribute to knowledge sharing.

Skills

AI/ML expertise
Data analysis
Collaborative
Critical thinking

Education

Bachelor's degree in IT/CS/Engineering

Tools

Git
Cloud platforms
Data pipeline management

Job description

The Land Transport Authority (LTA) in Singapore is seeking an executive AI/ML engineer to drive AI/ML adoption across intelligent transport systems. You will develop prototypes and MVPs to improve the traffic and transport experience for commuters.

You will design, build, deploy and maintain AI solutions across CV, Generative AI, and Agentic AI, build data pipelines, and collaborate with data scientists, software engineers and business stakeholders to deliver impactful results.

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