TE - 39 - Computer Vision Expert (CCTV Applications)

Position Overview

We are seeking a Computer Vision Expert with proven expertise in video analytics, real-time image processing, and AI-based surveillance systems.

The ideal candidate will design, implement, and optimize computer vision algorithms to enhance CCTV capabilities, enabling automated detection, tracking, recognition, and event analysis in real-world environments.

Key Responsibilities

• Develop advanced computer vision algorithms for CCTV footage, including object detection, tracking, behavior analysis, and anomaly detection.

• Integrate AI models into the BW ecosystem of applications.

• Collaborate with hardware and software teams to ensure edge and cloud-based solutions run efficiently.

• Conduct research on the latest advancements in surveillance AI, including multi-camera tracking, re-identification, and privacy-preserving video analytics.

• Evaluate performance metrics (accuracy, latency, scalability) and optimize systems for real-time deployment.

Required Qualifications

• Master’s or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or related field.

• Strong experience in computer vision, image/video processing, and machine learning.

• Proficiency in deep learning frameworks (TensorFlow, PyTorch, OpenCV, MMDetection, YOLO, etc.).

• Solid programming skills in Python. Golang knowledge a plus.

• Knowledge of video streaming protocols (RTSP, ONVIF).

• Strong problem-solving skills and ability to work on real-world, large-scale video datasets.

Preferred Skills

• Experience with multi-camera systems, 3D vision, and sensor fusion (e.g., Radar/LiDAR + video).

• Experience with real-time video analytics and edge AI deployment (NVIDIA Jetson, Intel OpenVINO, etc.).

• Background in anomaly detection, behavior recognition, and activity forecasting.

• Experience with optimization for embedded systems and GPUs.

• Understanding of cybersecurity and privacy considerations in video surveillance.