[LTA-TRO] SNR/ EXECUTIVE AI/ML ENGINEER, INTELLIGENT TPT SYSTEMS DEVELOPMENT

Land Transport Authority (LTA); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Land Transport Authority (LTA) in Singapore seeks an Executive AI/ML Engineer to advance AI/ML initiatives within Intelligent TPT Systems Development. You will design, build and deploy AI solutions to improve the traffic and transport experience for commuters, from prototypes to MVPs.

You will collaborate across computer vision, NLP, LLMs, and agentic AI, while shaping data pipelines and models at scale. The role emphasizes experimentation, knowledge sharing, and close teamwork with data

Qualifications

• Knowledge in IT, CS, or related discipline.
• 3+ years in AI/ML, Data Science, or cloud app development.
• Experience with NLP, LLMs, conversational AI, CV, and Agentic AI.
• Hands-on DevOps experience and Agile software development.
• Experience with large-scale data pipelines.
• Knowledge of Cloud solution architecture and deployment.

Responsibilities

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

Skills

AI/ML

Data Science

Cloud Apps

NLP

LLMs

Conversational AI

Computer Vision

Agentic AI

DevOps

Git

Data Pipelines

Cloud Architecture

Tools

Git

Cloud Platform

Job description

[What the role is]

[LTA-TRO] SNR/ EXECUTIVE AI/ML ENGINEER, INTELLIGENT TPT SYSTEMS DEVELOPMENT

[What you will be working on]

You will be part of a dynamic team driving the adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies at LTA. You will leverage on cutting-edge technologies to develop prototypes and minimum viable products (MVPs) to develop solution to improve the traffic and transport experience for Singapore commuters.

Your role will encompass:

• Designing, building, deploying, and maintaining applied AI solutions across Computer Vision, Generative AI, and Agentic AI.

• Developing and optimising Machine Learning algorithms tailored to diverse use case requirements.

• Designing and implementing robust data pipelines to support AI applications at scale.

• Collaborating closely with cross-functional teams - including data scientists, software developers, domain experts, and business stakeholders - to drive successful project outcomes.

• Engaging users regularly through an iterative development process to refine features and ensure applications meet operational needs.

• Evaluating and proposing emerging technologies, establishing best practices, and contributing to knowledge sharing across the team.

[What we are looking for]

• Knowledge in Information Technology, Computer Science, Computer Engineering, or a related discipline.

• Preferably with at least 3 years of experience in AI/ML, Data Science, or Cloud application development, with a focus on model quality, data quality, and building automated AI processes. Experience should span areas such as Natural Language Processing, Large Language Models, Conversational AI, Computer Vision, and Agentic AI.

• Preferably with at least 3 years of hands-on experience with DevOps tools and practices, Agile software development methodologies, and version control systems such as Git.

• Experience with large-scale data pipeline management is strongly preferred.

• Knowledge of Cloud solution architecture, and the testing and deployment of Cloud-hosted solutions, will be advantageous.

• A self-motivated, independent contributor who is intellectually curious and enthusiastic about exploring new technologies.

• Strong analytical and problem-solving skills, with the ability to ask the right questions and think critically.

• A collaborative team player who works effectively in cross-functional environments.

As part of the shortlisting process for the role, you may be required to complete a medical declaration and / or undergo further assessment.