Smart Ship Hub Digital
Singapore Japan India
We are looking for a skilled Camera Vision Engineer (Video Processing Specialist) with hands-on experience in Deep Learning video analytics and edge device deployment. The ideal candidate will work on real-time camera vision pipelines sensor fusion systems and video analytics applications across industrial and maritime domains.
Key Responsibilities
- Develop and optimize real-time video analytics solutions using DeepStream YOLO PyTorch and OpenCV.
- Build and deploy computer vision models for object detection segmentation tracking OCR pose estimation and classification.
- Design and integrate sensor fusion pipelines for enhanced situational awareness and decision-making.
- Work with RTSP/industrial cameras satellite imagery and multi-camera setups for real-time processing.
- Deploy solutions on edge devices (Jetson series) and integrate via Docker Linux and GStreamer.
- Build user-friendly dashboards and interfaces using PyQt and integrate with backend platforms.
- Handle WebRTC Kafka Zookeeper PostgreSQL/MySQL for scalable system architecture.
- Collaborate with cross-functional teams to deliver high-quality CV solutions and ensure system reliability.
- Participate in requirement gathering project management testing optimization and deployment.
Required Skils
- Deep Learning (CNNs YOLO DETR v2 SAM2 OCR)
- PyTorch TensorRT ONNX Runtime
- OpenCV DeepStream GStreamer
- Video Processing & Action Recognition
- Jetson/Edge Devices
- Docker Linux Git
- Kafka Zookeeper
- PostgreSQL MySQL
- Python C Bash Scripting
Experience: 2–4 Years
Additional Skills
- Experience with ROS PLC integration
- Satellite image analysis (preferred)
- GUI development using PyQt
- Familiarity with cloud platforms (Azure/EC2
Qualifications
- in Computer Science Electronics AI/ML or related field.
- Certifications preferred:
- NVIDIA Jetson AI Specialist
- Microsoft Azure (AZ-900 AZ-104 AI-900)
- Published research or hands-on project portfolio is a plus.
Required Skills:
camera vision computer vision Video Processing Specialist
Smart Ship Hub DigitalSingapore Japan IndiaWe are looking for a skilled Camera Vision Engineer (Video Processing Specialist) with hands-on experience in Deep Learning video analytics and edge device deployment. The ideal candidate will work on real-time camera vision pipelines sensor fusion system...
Smart Ship Hub Digital
Singapore Japan India
We are looking for a skilled Camera Vision Engineer (Video Processing Specialist) with hands-on experience in Deep Learning video analytics and edge device deployment. The ideal candidate will work on real-time camera vision pipelines sensor fusion systems and video analytics applications across industrial and maritime domains.
Key Responsibilities
- Develop and optimize real-time video analytics solutions using DeepStream YOLO PyTorch and OpenCV.
- Build and deploy computer vision models for object detection segmentation tracking OCR pose estimation and classification.
- Design and integrate sensor fusion pipelines for enhanced situational awareness and decision-making.
- Work with RTSP/industrial cameras satellite imagery and multi-camera setups for real-time processing.
- Deploy solutions on edge devices (Jetson series) and integrate via Docker Linux and GStreamer.
- Build user-friendly dashboards and interfaces using PyQt and integrate with backend platforms.
- Handle WebRTC Kafka Zookeeper PostgreSQL/MySQL for scalable system architecture.
- Collaborate with cross-functional teams to deliver high-quality CV solutions and ensure system reliability.
- Participate in requirement gathering project management testing optimization and deployment.
Required Skils
- Deep Learning (CNNs YOLO DETR v2 SAM2 OCR)
- PyTorch TensorRT ONNX Runtime
- OpenCV DeepStream GStreamer
- Video Processing & Action Recognition
- Jetson/Edge Devices
- Docker Linux Git
- Kafka Zookeeper
- PostgreSQL MySQL
- Python C Bash Scripting
Experience: 2–4 Years
Additional Skills
- Experience with ROS PLC integration
- Satellite image analysis (preferred)
- GUI development using PyQt
- Familiarity with cloud platforms (Azure/EC2
Qualifications
- in Computer Science Electronics AI/ML or related field.
- Certifications preferred:
- NVIDIA Jetson AI Specialist
- Microsoft Azure (AZ-900 AZ-104 AI-900)
- Published research or hands-on project portfolio is a plus.
Required Skills:
camera vision computer vision Video Processing Specialist
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