VCA Software Developer - Klickerlab Co., Ltd.

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 :

• 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.