NOTE: This opportunity is with EagleSight.ai building advanced surveillance and player tracking technology designed specifically for casinos. Role Overview: The Computer Vision Engineer will work directly on the optimization of video analytics algorithms used to detect betting areas, chips, cards, and other table elements. This position will be integral to improving the reliability of object detection under various lighting and environmental conditions. Key Responsibilities:

Develop and optimize computer vision algorithms for betting area and chip detection.

Implement improvements for real-time calibration and ROI adjustments.

Assist in integrating dual camera feeds and synchronizing multi-camera analytics.

Collaborate with ML engineers to gather data for training and validation.

Qualifications:

Degree in Computer Vision, Electrical Engineering, or related field.

3+ years of experience in computer vision projects (OpenCV, YOLO, Aruco markers).

Hands-on experience with camera calibration and multi-view geometry.

Knowledge of C++ and Python for computer vision development.