AI/ML Engineer (DSC/TE/VIBU)

ST ENGINEERING ADVANCED NETWORKS & SENSORS PTE. LTD.

Singapore

On-site

SGD 90,000 - 130,000

Full time

2 days ago
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Job summary

ST Engineering Advanced Networks & Sensors PTE. LTD. is seeking an AI/ML Engineer to design, develop, deploy, and optimize AI/ML solutions for intelligent video analytics, computer vision, and enforcement platforms.

You will collaborate with software engineers, solution architects, domain experts, and product owners to translate challenges into scalable AI-driven solutions. The role covers data engineering, model development, MLOps, deployment, monitoring, and continuous improvement of AI

Qualifications

  • Experience designing and deploying AI/ML solutions for real-world problems.

Responsibilities

  • Design, develop, train, and optimize ML/DL models for operational use cases.
  • Build computer vision solutions including object detection, tracking, classification, OCR and video analytics pipelines.
  • Develop data ingestion, feature engineering, and MLOps pipelines; deploy models with CI/CD.
  • Integrate AI services with enterprise platforms via APIs and microservices.

Skills

Machine Learning
Deep Learning
Computer Vision
MLOps
Python
CI/CD
Cloud Deployment
Data Engineering

Education

Bachelor's degree in Computer Science or related

Tools

PyTorch
TensorFlow
ONNX
OpenCV
Hugging Face
YOLO
RT-DETR
CLIP
ViT
Docker
Kubernetes

Job description

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 and 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 e
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