Ai-Senior Computer Vision-Engineer-Chennai

Job Title : Computer vision Engineer

Location : Chennai, India

Employment Type : Full-Time

Reports To : CMD ( later to the CTO)

Job Overview

As our AI / ML Engineer, you will be responsible for designing and prototyping the core machine learning architectures that drive our solution. You will collaborate directly with the founder to brainstorm, evaluate, and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in cricket and badminton.

Given that this is a new domain, candidates with experience in adjacent areas (such as robotics, autonomous systems, sports analytics, surveillance, or IoT) are encouraged to apply. We value innovative problem solvers who can adapt their skills to meet our unique challenges.

Key Responsibilities

• Architecture & Design :
• Propose and evaluate multiple AI / ML architectures suitable for real-time officiating tasks (object detection, event detection, trajectory prediction, and sensor fusion).
• Collaborate with the founder to select and iterate on the optimal architecture for our use case.
• Algorithm Development :
• Develop computer vision algorithms to detect and track critical objects (e.G., sports balls, players, court lines).
• Design and implement reinforcement learning (RL) models for dynamic PTZ camera control (tracking, panning, and zooming) to ensure the best camera viewpoints.
• Build predictive models for real-time decision-making (e.G., anticipating ball trajectories for no-ball calls, scoring events).
• Sensor Fusion :
• Integrate data from video feeds with auxiliary sensors (audio, IR, radar, etc.) to improve the accuracy and reliability of event detection.
• Optimize models for low-latency performance on edge devices.
• Prototyping & Testing :
• Rapidly prototype and validate AI / ML modules using real or simulated data.
• Work closely with the full-stack developer to integrate AI components into the broader software system.
• Documentation & Research :
• Document architecture decisions, model designs, and implementation details.
• Stay updated on recent research and advancements in computer vision, machine learning, and reinforcement learning, and apply relevant innovations to enhance the product.
• Collaboration :
• Participate in brainstorming sessions and technical reviews with the product management and development teams.
• Provide insights on potential improvements and scalability for the system as we expand from a prototype to a full-scale commercial product.

Qualifications & Skill Sets

Educational Qualifications :

Technical Skills :

strong knowledge of convolutional neural networks (CNNs).

ability to prototype RLsolutions for real-time control.

Domain-Relevant Experience :

Soft Skills :

Why Join Us?