We are looking for a Computer Vision Engineer to join one of our international clients on an outstaff basis.<\/p>\n
Core Responsibilities
Video Algorithmic Pipelines: Design and stitch together custom video processing workflows (Detection Multi-Object Tracking Action Recognition) directly in memory (GPU\/CUDA level) to minimize latency.
Camera Calibration & Homography: Develop robust algorithms for automatic pitch\/field line detection, lens distortion compensation, and 2D-to-3D coordinate mapping (homography estimation).
Advanced Multi-Object Tracking (MOT): Optimize tracking algorithms (Kalman filters, deep embedding matching) to handle dense crowds, severe occlusions, and ID switches under fast-paced sports dynamics.
Custom Model Adaptation: Fine-tune and structurally modify state-of-the-art CV architectures (YOLO-style detectors, Vision Transformers) specifically for sports domains and low-resolution\/far-angle edge cases.
Technical Requirements
CV Experience: 2+ years of production-proven commercial experience in Computer Vision, with a heavy focus on Video Analytics.
Domain Expertise: Solid, demonstrable experience with sports video data, player tracking, or highly dynamic multi-agent scenes.
Hard Skills:Exceptional Python and deep understanding of PyTorch or TensorFlow.
Strong foundation in classical computer vision geometry (projective geometry, epipolar geometry, camera matrices, OpenCV).
Hands-on experience with modern tracking frameworks (e.g., ByteTrack, OC-SORT) or writing proprietary tracking logic.
Experience optimizing models for inference (TensorRT, ONNX, Triton Inference Server).<\/p>\n
Engineering Mindset: Ability to profile vision algorithms, identify execution bottlenecks, and optimize for throughput\/latency without losing precision.<\/p>\n","protected":false},"excerpt":{"rendered":"
We are looking for a Computer Vision Engineer to join…<\/p>\n","protected":false},"author":14141,"featured_media":0,"parent":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_mo_disable_npp":"","rwu_salary_min":0,"rwu_salary_max":0,"rwu_salary_currency":"","rwu_salary_period":"","rwu_english_level":"B2","rwu_experience_months":24,"rwu_candidate_countries":"\u0412\u0435\u0441\u044c \u0441\u0432\u0456\u0442","rwu_company_type":"","rwu_industry":"other","rwu_part_time":false,"rwu_source_views":31,"rwu_source_applications":2,"rwu_source_category":"Data Engineer","rwu_source_name":"Djinni.co","rwu_source_url":"https:\/\/djinni.co\/jobs\/850568-computer-vision-engineer-sports-video-analyti\/"},"job_category":[57],"job_type":[54],"class_list":["post-4030171","job","type-job","status-publish","hentry","job_category-programuvannia","job_type-povna-zainiatist"],"yoast_head":"\n