[LTA-TRO] SNR/ EXECUTIVE AI/ML ENGINEER, INTELLIGENT TPT SYSTEMS DEVELOPMENT
sggovterp · Singapore ·
- Category
- ML ai
sggovterp · Singapore ·
Ntu · NTU Main Campus, Singapore
SEATRIUM (SG) PTE. LTD. · Singapore
National University of Singapore
Ntu · NTU Main Campus, Singapore
shell · Singapore - Metropolis
Senior/Executive AI/ML engineer at Singapore's Land Transport Authority designing, building and deploying applied AI — computer vision, generative AI, agentic AI — to improve traffic and transport for commuters. Involves ML model development, data pipelines, and MVPs with cloud, DevOps, Agile and Git.
[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.