ST Engineering · Jurong East, West Region
About ST Engineering
ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.
Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.
About our Line of Business – Advanced Networks & Sensors
Our Advanced Networks & Sensors business specializes in platform digitalization, advanced connectivity, and cutting-edge manufacturing. This diversity of capabilities presents a range of roles through which you can contribute to the development of innovative, secure, and patented products. Join our team and play a crucial role in developing tomorrow’s technology and connectivity solutions and services to sectors spanning defence, public security, government, and the commercial realm. Your work will have a global impact as we empower customers through advanced communications, intelligent sensors, and the deployment of AI-enabled Edge applications for mission-critical roles.
Together, We Can Make A Significant Impact
We are seeking an AI/ML Engineer to design, develop, deploy, and optimize Artificial Intelligence and Machine Learning solutions that enhance VIBU's intelligent video analytics, computer vision, investigation, and enforcement platforms. The successful candidate will work closely with software engineers, solution architects, domain experts, and product owners to transform operational challenges into scalable AI-driven solutions.
The role spans the full AI lifecycle, including data engineering, model development, MLOps, deployment, monitoring, and continuous improvement of AI systems.
Be Part of Our Success
AI Solution Development
Design, develop, train, and optimize Machine Learning and Deep Learning models for operational use cases
Traffic and enforcement analytics
Incident and violation detection
Investigation assistance
Intelligent search and summarization
Predictive analytics and anomaly detection
Evaluate and benchmark AI models for accuracy, latency, robustness, and operational suitability
Computer Vision Engineering
Build and enhance Computer Vision solutions using images and videos
Develop and optimize:
Object detection models
Object tracking models
Classification models
OCR and text recognition
Video analytics pipelines
Fine-tune pretrained models such as YOLO, RT-DETR, ViT, CLIP, and other state-of-the-art architectures
Data Engineering & MLOps
Build data ingestion, data preparation, and feature engineering pipelines
Design and maintain AI datasets and model repositories
Implement model deployment pipelines using CI/CD practices
Monitor model performance, drift, and operational health
Support scalable AI deployment in cloud and on-premises environments
System Integration
Integrate AI services with enterprise platforms and operational systems
Collaborate with backend and frontend teams to expose AI capabilities via APIs and microservices
Qualities We Value
Knowledge in Computer Science, Computer Engineering, Information Systems, Information Security or Information Engineering
Working location is in Jurong East
Technical Competencies
Strong understanding of Machine Learning, Deep Learning, and Computer Vision concepts, including supervised, unsupervised, and reinforcement learning techniques
Ability to design, develop, deploy, and optimize scalable AI/ML models for real-world operational environments
Familiarity with modern AI frameworks and tools such as PyTorch, TensorFlow, ONNX, OpenCV, Hugging Face, YOLO, RT-DETR, CLIP, ViT, and related technologies
Proficient in Python and familiar with software engineering practices, including version control, CI/CD, testing, and code quality standards
Good understanding of statistics, data analytics, feature engineering, model evaluation, and performance optimization techniques
Familiar with cloud and on-premise AI deployment platforms, containerization technologies (Docker, Kubernetes), and MLOps practices
Data Engineering & AI Operations
Able to support the development and production deployment of scalable, reliable, and optimized AI/ML solutions
Able to build or assist in building data ingestion, extraction, transformation, and loading (ETL/ELT) pipelines for large-scale structured and unstructured datasets
Able to process real-time data streams from images, videos, sensors, and enterprise systems to support AI-driven applications
Familiar with dataset preparation, data annotation, data governance, and feature engineering for model training and validation
Experience with model monitoring, performance tracking, drift detection, and continuous model improvement is advantageous
Problem Solving & Experimentation
Able to conduct experiments, evaluate model performance, and benchmark AI solutions for accuracy, latency, scalability, robustness, and operational suitability
Able to identify, troubleshoot, and resolve issues arising during model training, deployment, and production operation
Demonstrates analytical thinking and a structured approach to solving complex operational and business challenges using AI technologies
Passionate about exploring emerging AI technologies and translating research into practical business solutions
Our Commitment That Goes Beyond the Norm
An environment where you will be working on cutting-edge technologies and architectures.
Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
Meaningful work and projects that make a difference in people’s lives.
A fun, passionate and collaborative workplace.
Competitive remuneration and comprehensive benefits.