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Computer Vision / Video Streaming Engineer

IndiaPosted 2 months ago
Software engineeringJuniorFull Time; Regular
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Opens the source posting on shine.com

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We are looking for an experienced Computer Vision / Video Streaming Engineer to help improve our real-time webcam background removal solution. Most of the work has already been completed, but we're facing issues with the final stage of tracking a person accurately and removing the background smoothly. Responsibilities - Improve person tracking in live webcam video. - Fix issues with real-time background removal. - Optimize the existing video streaming solution. - Work with the team to troubleshoot and improve performance. Required Skills - Experience with computer vision and real-time video streaming. - Strong knowledge of OpenCV. - Experience with person detection, tracking, and background segmentation. - Familiarity with Python and/or C++. - Experience working with AI segmentation models is a plus. Nice to Have - Experience with WebRTC, FFmpeg, or GStreamer. Knowledge of TensorFlow or PyTorch. - Experience optimizing real-time video applications. We are looking for an experienced Computer Vision / Video Streaming Engineer to help improve our real-time webcam background removal solution. Most of the work has already been completed, but we're facing issues with the final stage of tracking a person accurately and removing the background smoothly. Responsibilities - Improve person tracking in live webcam video. - Fix issues with real-time background removal. - Optimize the existing video streaming solution. - Work with the team to troubleshoot and improve performance. Required Skills - Experience with computer vision and real-time video streaming. - Strong knowledge of OpenCV. - Experience with person detection, tracking, and background segmentation. - Familiarity with Python and/or C++. - Experience working with AI segmentation models is a plus. Nice to Have - Experience with WebRTC, FFmpeg, or GStreamer. Knowledge of TensorFlow or PyTorch. - Experience optimizing real-time video applications.

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