EagleSight.ai is at the forefront of casino surveillance technology, developing advanced systems for player tracking and monitoring. As a CV Engineer, you'll be instrumental in developing and optimizing cutting-edge computer vision algorithms for casino operations. The role focuses on detecting betting areas, chips, cards, and other table elements with high precision.
You'll work on improving object detection reliability under various lighting and environmental conditions, implementing real-time calibration systems, and handling multi-camera analytics. This position offers a unique opportunity to apply computer vision expertise in a specialized industry, working with dual camera feeds and complex detection scenarios.
The ideal candidate will bring strong computer vision expertise, with experience in OpenCV, YOLO, and Aruco markers. You'll collaborate closely with ML engineers, contributing to both development and data collection processes. This role combines theoretical knowledge with practical implementation, requiring skills in both C++ and Python.
Working in a hybrid environment in Edmonton, you'll be part of a team pushing the boundaries of surveillance technology. This position offers the chance to solve complex technical challenges while contributing to the evolution of casino security systems. If you're passionate about computer vision and want to apply your skills in a unique, specialized domain, this role presents an excellent opportunity for professional growth and innovation.