Description

You will lead the development of performance and learning tools using computer vision and machine learning.

This role is on-site.

Responsibilities

• Design, build, and fine-tune ML models for player analytics, skill assessment, and automated highlight generation.
• Build and maintain the end-to-end sports analytics ML platform on AWS using MLOps practices.
• Work with product and tech teams to align on features and independently own AI product delivery.
• Monitor model performance, gather feedback, and refine algorithms to improve accuracy.
• Process and analyse structured and unstructured data, including videos, scores, and stats.

Required Skills

• Bachelor’s degree in Computer Science or a related field.
• 2–4 years of experience training and deploying computer vision models in production.
• Hands-on experience in Python with OpenCV, PyTorch, and TensorFlow.
• Practical experience working with AWS.
• Strong problem-solving skills and a growth mindset.
• Experience using AI tools (Copilot, Cursor, Claude, ChatGPT) to accelerate development.

Key Skills

Education

B.Tech or B.E in Computer Science Engineer or equivalent