Senior AI/ML Engineer - Applied Intelligence & MVPs

Public Service Division; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Public Service Division in Singapore seeks an Executive AI/ML Engineer, AI/ML Systems Development, to drive adoption of AI/ML technologies and develop MVPs that improve traffic and transport for commuters.

You will design, build, deploy, and maintain AI solutions across Computer Vision, Generative AI, and Agentic AI; develop ML algorithms; construct robust data pipelines; and collaborate with data scientists, software engineers, domain experts, and stakeholders.

Qualifications

• 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.
• Experience with NLP, LLMs, Conversational AI, CV, and Agentic AI is advantageous.
• Experience with DevOps tools, Agile software development, and Git.

Responsibilities

• 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 with cross-functional teams to drive successful project outcomes.
• Engaging users through iterative development to refine features and meet operational needs.
• Evaluating and proposing emerging technologies, establishing best practices, and sharing knowledge.

Job description

Public Service Division in Singapore seeks an Executive AI/ML Engineer, AI/ML Systems Development, to drive adoption of AI/ML technologies and develop MVPs that improve traffic and transport for commuters.

You will design, build, deploy, and maintain AI solutions across Computer Vision, Generative AI, and Agentic AI; develop ML algorithms; construct robust data pipelines; and collaborate with data scientists, software engineers, domain experts, and stakeholders.