Senior Engineer
Solliciteren
Plaats
Brussel1000
Brussel
België
Contract
Vooltijds, Onbepaalde duurDatum gepubliceerd
2026-02-17Online to:
2026-04-18EUR 15.00 HOUR
Senior Engineer
- China State Construction Engineering (Hong Kong) Limited
- Brussel
- 3 uren geleden
China State Construction Engineering (Hong Kong) Limited (\"the Company\" or \"China State Hong Kong\") started its construction business in Hong Kong in 1979. The Company engages in building construction and civil engineering works. China State Hong Kong is among the largest construction contractors in Hong Kong, and is approved by the Works Bureau, to be on the List of Approved Contractors (Group C) for Public Works in the five major categories of building and civil engineering works, namely, \"Buildings\", \"Port Works\", \"Roads and Drainage\", \"Site Formation\" and \"Waterworks\".
Responsibilities
Lead the design and development of computer vision-based AI solutions focused on detecting unsafe worker behaviors (e.g., not wearing helmets, no safety harness, unauthorized access) and identifying high-risk construction activities (e.g., working at heights, hot work, deep excavation).
Develop end-to-end visual recognition pipelines using streaming video data from CCTV systems, body-worn cameras, drones, and other on-site sources.
Design, train, and optimize deep learning models for object detection, human pose estimation, action recognition, and anomaly detection with high accuracy and low latency.
Drive AI models from prototype to production deployment, including model optimization for edge computing devices and integration with existing infrastructure.
Collaborate closely with product managers, hardware engineers, and field operations teams to understand site-specific challenges and ensure practical AI deployment.
Build and manage data workflows, including data collection, labeling, augmentation, quality control, and versioning for large-scale training datasets.
Stay up to date with cutting-edge research (e.g., Vision Transformers, self-supervised learning, few-shot learning) and apply innovative techniques to improve model generalization and cross-scene adaptability.
Mentor junior AI engineers and establish best practices for efficient, scalable, and maintainable AI development.
Requirements
Degree or Higher Diploma in Computer Science, Artificial Intelligence, Pattern Recognition, Automation or related disciplines.
Minimum of 5 years of professional experience in AI, with a strong focus on computer vision and deep learning.
Proven experience in delivering AI solutions from concept to production, especially in real-world applications.
Proficient in deep learning frameworks such as PyTorch or TensorFlow, and experienced with computer vision libraries like OpenCV, MMDetection, MMPose, YOLO, etc.
Solid understanding of core vision tasks: object detection, pose estimation, action recognition, and video analysis.
Hands-on experience with video stream processing (RTSP, ONVIF), multi-camera fusion, and model deployment on edge devices (e.g., NVIDIA Jetson, Huawei Atlas).
Familiarity with model optimization techniques for low-latency and resource-constrained environments (e.g., TensorRT, OpenVINO, NCNN).
Demonstrated ability to lead small technical teams and manage project timelines independently.
Strong ability to read technical literature and write clear documentation in English.
Experience in smart construction sites, industrial safety monitoring, or video surveillance systems is highly preferred.
Prior exposure to construction environments or field testing is a strong plus.
Experience with drone-based video analysis or multi-modal fusion (vision + sensors) is advantageous.
Publication record in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, AAAI) is a bonus.
We offer attractive remuneration package with comprehensive fringe benefits to the right candidates. Interested parties please send your full resume with expected salary and availability to Human Resources Department by clicking \"APPLY NOW\".
Interested parties are invited to visit our website ) for more information.
All information provided by applicants will be treated in strict confidence and used only for recruitment purposes. Applicants may be considered for other suitable positions within the China Overseas Group and its related companies for one-year period, thereafter which their personal data will be destroyed.
Serving The Community。 Prospering Hong Kong
Responsibilities
Lead the design and development of computer vision-based AI solutions focused on detecting unsafe worker behaviors (e.g., not wearing helmets, no safety harness, unauthorized access) and identifying high-risk construction activities (e.g., working at heights, hot work, deep excavation).
Develop end-to-end visual recognition pipelines using streaming video data from CCTV systems, body-worn cameras, drones, and other on-site sources.
Design, train, and optimize deep learning models for object detection, human pose estimation, action recognition, and anomaly detection with high accuracy and low latency.
Drive AI models from prototype to production deployment, including model optimization for edge computing devices and integration with existing infrastructure.
Collaborate closely with product managers, hardware engineers, and field operations teams to understand site-specific challenges and ensure practical AI deployment.
Build and manage data workflows, including data collection, labeling, augmentation, quality control, and versioning for large-scale training datasets.
Stay up to date with cutting-edge research (e.g., Vision Transformers, self-supervised learning, few-shot learning) and apply innovative techniques to improve model generalization and cross-scene adaptability.
Mentor junior AI engineers and establish best practices for efficient, scalable, and maintainable AI development.
Requirements
Degree or Higher Diploma in Computer Science, Artificial Intelligence, Pattern Recognition, Automation or related disciplines.
Minimum of 5 years of professional experience in AI, with a strong focus on computer vision and deep learning.
Proven experience in delivering AI solutions from concept to production, especially in real-world applications.
Proficient in deep learning frameworks such as PyTorch or TensorFlow, and experienced with computer vision libraries like OpenCV, MMDetection, MMPose, YOLO, etc.
Solid understanding of core vision tasks: object detection, pose estimation, action recognition, and video analysis.
Hands-on experience with video stream processing (RTSP, ONVIF), multi-camera fusion, and model deployment on edge devices (e.g., NVIDIA Jetson, Huawei Atlas).
Familiarity with model optimization techniques for low-latency and resource-constrained environments (e.g., TensorRT, OpenVINO, NCNN).
Demonstrated ability to lead small technical teams and manage project timelines independently.
Strong ability to read technical literature and write clear documentation in English.
Experience in smart construction sites, industrial safety monitoring, or video surveillance systems is highly preferred.
Prior exposure to construction environments or field testing is a strong plus.
Experience with drone-based video analysis or multi-modal fusion (vision + sensors) is advantageous.
Publication record in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, AAAI) is a bonus.
We offer attractive remuneration package with comprehensive fringe benefits to the right candidates. Interested parties please send your full resume with expected salary and availability to Human Resources Department by clicking \"APPLY NOW\".
Interested parties are invited to visit our website ) for more information.
All information provided by applicants will be treated in strict confidence and used only for recruitment purposes. Applicants may be considered for other suitable positions within the China Overseas Group and its related companies for one-year period, thereafter which their personal data will be destroyed.
Serving The Community。 Prospering Hong Kong
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