VCA Software Developer

Responsibilities :

• Design, develop, and integrate Video Content Analytics (VCA) systems for analyzing CCTV footage, such as object detection, facial recognition, people counting, behavior analysis, or vehicle detection.
• Develop AI/Computer Vision modules using Deep Learning technologies (e.g., OpenCV, TensorFlow, PyTorch).
• Collaborate with Hardware and Network Engineers to test and optimize VCA system performance.
• Analyze performance issues and improve the accuracy of detection models.
• Develop APIs or interfaces for integrating video data with back-end systems or visualization dashboards.
• Prepare technical documentation and user manuals for the system.
• Support on-site installation, testing, and deployment of the system.

Qualifications

Qualifications :

• Bachelor’s degree or higher in Computer Engineering, Computer Science, Artificial Intelligence, or a related field.
• Minimum of 3 years of experience in Software, AI, or Computer Vision development.
• Strong knowledge in Image Processing, Object Detection, Motion Tracking, and Face Recognition.
• Understanding of CCTV systems, video streaming protocols (RTSP, ONVIF), or Video Management Systems (VMS) is an advantage.
• Proficient in programming languages such as Python, C++, or JavaScript.
• Familiar with Machine Learning / Deep Learning frameworks (TensorFlow, PyTorch, YOLO, OpenCV).
• Understanding of Edge Computing, GPU optimization, and AI model deployment in real-world environments.
• Strong teamwork, problem-solving, and continuous learning skills in emerging technologies.

Skills

Video Content Analytics, VCA, Computer Vision, Deep Learning, Machine Learning, AI Development, Image Processing, Object Detection, Face Recognition, People Counting, Motion Tracking, Behavior Analysis, CCTV, Video Analytics, TensorFlow, PyTorch, OpenCV, YOLO, CNN, Edge Computing, GPU Optimization, Model Deployment, Video Streaming, RTSP, ONVIF, VMS, API Development