The company provides football data science by enabling anyone to use their smartphone to film their matches and use computer vision to get high quality data/statistics back on each individual/player performance.

Responsibilities:
•Enhancing our sports analytics platform, which leverages smartphone cameras to capture and analyze detailed football match metrics
• Research & development in detection, tracking, and classification for football matches
• Design and implement robust algorithms to extract critical match metrics from video footage captured by smartphone cameras.
• Develop models for player identification, ball movement, and game events
• Continuously refine and optimize models for accuracy
• Optimize models for speed and robustness in real-world conditions

Requirements:
• Minimum B.Sc. degree in Computer Science or related field
• Proven experience in computer vision research and development
• Strong track record of implementing computer vision models
• Knowledge of computer vision libraries and frameworks
• Experience with deep learning techniques and architectures
• Familiarity with video processing and analysis techniques

Contacts:
📱 @Jungleb0b0 (please send your CV and relevant porfolio/github)