Senior Computer Vision Consultant

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IBM is seeking a Senior Computer Vision Consultant to lead the design and implementation of advanced AI-driven vision systems for real-time surveillance, safety, and automation use cases. The ideal candidate will bring deep expertise in computer vision, image processing, and edge AI deployments, working with live camera feeds and multi-sensor platforms to deliver production-grade intelligent vision solutions.

• Design, develop, and deploy real-time computer vision pipelines for live camera feeds (CCTV, IP Cameras, RTSP streams).
• Implement object detection, tracking, classification, and behavioral analytics using state-of-the-art deep learning models.
• Develop and optimize models using OpenCV, YOLO, Tensor Flow, PyTorch, and related frameworks.
• Build scalable edge AI solutions for real-time inference on Jetson devices, edge gateways, and on-prem systems.
• Integrate and manage thermal cameras, RGB cameras, LiDAR, and multi-sensor platforms.
• Design and implement sensor fusion architectures (RGB + Thermal + LiDAR) to enhance detection accuracy and reliability.
• Optimize inference performance, latency, and resource utilization for real-time production workloads.
• Collaborate with cross-functional teams to translate business requirements into intelligent vision solutions.
• Support deployment, monitoring, and continuous improvement of AI vision systems.

• Strong experience in Computer Vision and Image Processing.
• Hands-on expertise with live camera feeds (CCTV / IP Cameras / RTSP).
• Proficiency in OpenCV, YOLO, Tensor Flow, PyTorch.
• Deep understanding of object detection, tracking, and behavior analysis.
• Experience with edge AI deployments and real-time inference.
• Knowledge of multi-sensor fusion architectures.
• Experience integrating RGB, Thermal, and LiDAR sensors.
• Strong Python programming skills.
• Experience with Linux-based systems and on-prem deployments.

• Basic understanding of thermal imaging principles and calibration.
• Experience working with thermal cameras or multi-sensor surveillance systems.
• Exposure to safety, security, industrial automation, or smart city vision use cases.