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

Public Service Division; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Public Service Division is seeking a Senior/Executive Engineer to lead the design, development and deployment of Video Analytics (VA) and Artificial Intelligence (AI) solutions for traffic management and operations in Singapore. You will shape system architecture, build AI/ML models, prepare data, and oversee deployments across on-prem and cloud environments.

The role requires hands-on work with ML pipelines, model LLMS, and cross-functional collaboration with internal and external stakeholders

Qualifications

• Knowledge of Computer Science/Engineering, Artificial Intelligence, Data Science or equivalent
• Strong communication and teamwork skills, able to work independently
• Initiative and problem-solving mindset
• Proficiency in Python, C++, C# programming languages
• Experience with MLOps, deep learning frameworks, media processing, containerization, and stream processing

Responsibilities

• Design, develop, deploy and maintain VA/AI solutions for traffic management and operations
• Develop system architecture and AI/ML models for operational use cases
• Prepare and annotate datasets, manage model deployments and integrations
• Train, optimize, test, validate and maintain AI/ML models for performance and reliability
• Collaborate with stakeholders on requirements, deployments and system integration

Skills

Python

C++

C#

Problem Solving

Education

CS/Engineering or AI/Data Science

Tools

Docker

Kubernetes

FFmpeg

GStreamer

Kafka

PyTorch

TensorFlow

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.