[LTA-TRO] SNR / EXECUTIVE AI/ML ENGINEER, INTELLIGENT TPT SYSTEMS DEVELOPMENT
At a glance
Mid-level Machine Learning Engineering role at Sggovterp. Singapore · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run applied AI solutions spanning computer vision, generative AI and agentic AI
- Adapt machine-learning methods to different use cases, and create data pipelines that support AI applications at scale
- Work with data scientists, developers, domain experts and business stakeholders to move projects forward
- Refine applications with users through repeated development cycles, checking that features meet operational needs
- Assess emerging technologies, recommend options, and share practices and knowledge with the team
What you bring
- A background in IT, computer science, computer engineering or a related discipline
- Preferably, at least three years in AI/ML, data science or cloud application development, with attention to model and data quality and automation
- Experience across areas such as NLP, large language models, conversational AI or another listed AI field
- Preferably, at least three years using DevOps practices, Agile development and version control such as Git
Who this fits
This role suits an intellectually curious, self-directed contributor with strong analytical and problem-solving skills who works well across teams. Experience managing large-scale data pipelines is strongly preferred; cloud architecture and testing or deploying cloud-hosted solutions are advantages. Shortlisting may include a medical declaration or further assessment.
From the employer
[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.