Senior AI/ML Engineer - Smart Transit & Data Pipelines

Land Transport Authority (LTA) Singapore; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Land Transport Authority (LTA) Singapore is seeking a Senior/Executive AI/ML Engineer to drive AI adoption and develop MVPs for smarter traffic and transport solutions in Singapore.

You will design, build, deploy, and maintain AI solutions across computer vision, generative AI, and agentic AI, while collaborating with data scientists, software engineers, domain experts, and business stakeholders.

Qualifications

• Background in IT, CS, or a related discipline.
• At least 3 years in AI/ML, data science, or cloud app development.
• Experience with NLP, LLMs, conversational AI, CV, and agentic AI.
• At least 3 years with DevOps, Agile, and Git.
• Experience with large-scale data pipelines.
• Knowledge of cloud architecture and deploying cloud-hosted solutions.
• Self-motivated independent contributor with curiosity.
• Strong analytical and problem-solving abilities.
• Collaborative team player in cross-functional environments.

Responsibilities

• Design, build, deploy, and maintain AI solutions across CV, Generative AI, and Agentic AI.
• Develop and optimize 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 stakeholders.
• Engage users through iterative development to refine features.
• Evaluate emerging technologies and share knowledge across the team.

Skills

Analytical skills

Problem solving

Team player

Self-motivated

Education

Information Technology / Computer Science / Computer Engineering degree

Tools

Git

Job description

Land Transport Authority (LTA) Singapore is seeking a Senior/Executive AI/ML Engineer to drive AI adoption and develop MVPs for smarter traffic and transport solutions in Singapore.

You will design, build, deploy, and maintain AI solutions across computer vision, generative AI, and agentic AI, while collaborating with data scientists, software engineers, domain experts, and business stakeholders.