About the Job
About Us :We're on a mission to revolutionize sports analytics by integrating cutting-edge AI into real-time and post-match video analysis. Our platform delivers powerful insights to enhance athlete performance, optimize coaching strategies, and engage fans like never before. Join us at the intersection of technology and athletic excellence.
Role Overview :
As an AI Sports Analyst / Computer Vision Engineer, you'll be a key part of our tech team building AI models that process video footage to extract meaningful patterns and performance metrics. Your work will directly impact how athletes train, how coaches strategize, and how fans experience sports.
Key responsibilities:
1. Build and optimize computer vision models to detect and track players, ball, referee, and other key entities in sports footage
2. Develop event recognition models
3. Implement pose estimation and action recognition algorithms for performance analytics
4. Work with multi-camera setups to perform 3D player reconstruction and spatial analysis
5. Deploy models in real-time pipelines and optimize for low-latency inference
6. Integrate AI pipelines with front-end visualization dashboards
7. Collaborate with frontend/backend devs, data annotators, and sports analysts
8. Stay up to date with state-of-the-art research in vision-based sports analytics
Number of Openings
10 openingsSkills
Python, Computer Vision, Deep Learning, Machine Learning Operations (MLOps), Model fine-tuning
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