[LTA-TRO] SENIOR/ EXECUTIVE ENGINEER (VIDEO ANALYTICS/ AI)

Land Transport Authority; Singapore; On-site; SGD 89,000 - 156,000; Full time

Job summary

Land Transport Authority in Singapore seeks a Senior/Executive Engineer to lead video analytics and AI initiatives for traffic management and sensor systems. You will design architectures, build models, and deploy solutions to improve road safety and efficiency.

You will work across on-prem and cloud environments, manage data annotation and model lifecycles, and collaborate with stakeholders to ensure seamless system integration.

Qualifications

• Bachelor-level understanding of computer science/engineering and AI.
• Strong communication and ability to work independently within a team.
• Proactive, resourceful with problem-solving mindset.
• Proficient in Python, C++, or C# with interest in VA/AI.

Responsibilities

• Design and develop VA/AI solutions for traffic management.
• Develop data annotation workflows and manage AI/ML model deployments.
• Collaborate with stakeholders for system integration across on-prem and cloud.

Skills

Python

C++

C#

VA/AI

Problem solving

Teamwork

Education

Computer Science/Engineering or AI/Data Science degree

Tools

Docker

Kubernetes

FFmpeg

GStreamer

PyTorch

TensorFlow

Kafka

Job description

What the role is:

[LTA-TRO] SENIOR/ EXECUTIVE ENGINEER (VIDEO ANALYTICS/ ARTIFICIAL INTELLIGENCE), TRAFFIC LIGHT MANAGEMENT AND SENSORS

What you will be working on:

You will be part of a team spearheading the design, development, deployment and maintenance of Video Analytics (VA) / Artificial Intelligence (AI) solutions that support traffic management and operations, automation, analytics and decision-making to ensure smooth and efficient traffic flow as well as improve the safety and efficiency of Singapore roads.

Your work will involve developing system architecture for the VA/AI solutioning, designing and building AI/Machine Language (ML) models including generative AI for operational use cases such as traffic incident detection, classification, computer vision and automation. You will be responsible for preparing and annotating datasets, managing AI/ML model deployments and integrations with existing and new systems across on-premises and cloud environments. You will also train, optimise, test, validate, fine-tune and maintain AI/ML models for performance, scalability, reliability and continual improvements.

The role also includes collaborating and coordinating with internal and external stakeholders on user needs, co-development, model deployment, system integration as well as technological explorations to establish engineering requirements and performance specifications.

What we are looking for:

• Knowledge in Computer Science/Engineering, Artificial Intelligence, Data Science or equivalent

• Strong communication and interpersonal skills, with ability to work independently in a team environment

• Possess initiative and resourcefulness as well as keen interest in problem-solving

• Proficiency in at least one programming languages: Python, C++, C#

• Experience in one or more of the following fields: MLOps and model lifecycle, deep learning frameworks (eg. PyTorch, TensorFlow), media processing (eg. ffmpeg, Gstreamer) Containerization (eg. Docker, Kubernetes), Stream processing technologies (eg. Kafka), VLM.
• Proficiency in video analytics methodologies
• Familiar with VA/NLP/LLM implementations and cloud environments
• Hands-on experience in VA/AI projects, preferably in traffic or transportation related fields
• Keen interest in traffic management and operations environment
• Good team player who can work well with others

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

About Land Transport Authority

The Land Transport Authority (LTA) is a statutory board under Ministry of Transport that spearheads land transport developments in Singapore. We are seeking dynamic, energetic, highly motivated, passionate and qualified professionals to join us.Many opportunities & challenges await those who are keen on an exciting career to realise our commitment to envision & implement an integrated transport system.