Lead AI (Thiruvananthapuram)

Job Description Overview We are looking for a high-impact AI / Computer Vision Engineer to build fast, automated game breakdown and statistics generation for sportsstarting with volleyball. The goal is to deliver actionable insights within one hour after a match ends, enabling coaches to review games between matches during tournaments. Key Responsibilities Design and develop AI / Computer Vision pipelines for player tracking, ball tracking, and event detection Build automated video segmentation, tagging, and highlight generation Optimize models and workflows for near real-time or rapid post-game processing Work with video ingestion, inference, and post-processing pipelines Collaborate closely with product and engineering teams to align AI output with coach workflows Research and evaluate AI/CV approaches to improve accuracy and speed Contribute to long-term AI architecture and product strategy Required Skills & Experience Strong experience in Computer Vision and Machine Learning Proficiency in Python and OpenCV Experience with deep learning frameworks (PyTorch / TensorFlow) Hands-on experience with video processing and object detection / tracking Understanding of model optimization for performance and scalability Good to Have Experience in sports analytics or sports video analysis Experience with player or ball tracking systems Background in volleyball or other court-based sports Experience deploying ML models in production Why This Role Matters This role is a key part of the companys 2026 strategy. Coaches value speed and accuracy, and delivering quick game breakdowns is a proven, paid demand. The selected candidate will help shape the AI platform and long-term technology direction. Job Description Overview We are looking for a high-impact AI / Computer Vision Engineer to build fast, automated game breakdown and statistics generation for sportsstarting with volleyball. The goal is to deliver actionable insights within one hour after a match ends, enabling coaches to review games between matches during tournaments. Key Responsibilities Design and develop AI / Computer Vision pipelines for player tracking, ball tracking, and event detection Build automated video segmentation, tagging, and highlight generation Optimize models and workflows for near real-time or rapid post-game processing Work with video ingestion, inference, and post-processing pipelines Collaborate closely with product and engineering teams to align AI output with coach workflows Research and evaluate AI/CV approaches to improve accuracy and speed Contribute to long-term AI architecture and product strategy Required Skills & Experience Strong experience in Computer Vision and Machine Learning Proficiency in Python and OpenCV Experience with deep learning frameworks (PyTorch / TensorFlow) Hands-on experience with video processing and object detection / tracking Understanding of model optimization for performance and scalability Good to Have Experience in sports analytics or sports video analysis Experience with player or ball tracking systems Background in volleyball or other court-based sports Experience deploying ML models in production Why This Role Matters This role is a key part of the companys 2026 strategy. Coaches value speed and accuracy, and delivering quick game breakdowns is a proven, paid demand. The selected candidate will help shape the AI platform and long-term technology direction.