Computer Vision Lead (Gurugram)

Computer Vision Lead (Gurugram)

10 Aug
|
Zoom Communications
|
Gurugram

10 Aug

Zoom Communications

Gurugram

Role Overview:
Computer Vision Lead will head the vision and multimodal AI charter behind our next-generation sports AI products. This is a hands-on leadership role: you will own the technical direction of our real-time sports understanding stack, set the architecture and research agenda, and build and mentor a high-performing team of Computer Vision and AI Engineers. You will be accountable for taking models from research to reliable, low-latency production systems experienced by millions of fans.
Key Responsibility Areas:
1. Technical Leadership & Team Building
● Own the technical vision, architecture, and roadmap for Computer Vision and multimodal AI across the product portfolio.
● Lead, mentor, and grow a team of Computer Vision and AI Engineers; drive hiring, onboarding, and capability development.
● Set engineering standards for experimentation, code quality, documentation, reproducibility, and model governance.
● Translate product goals into technical milestones, effort estimates, and delivery plans; own execution end to end.




● Make build-vs-buy and architecture trade-off decisions across model, infrastructure, and vendor choices.

2. AI Product Development & Language Intelligence
● Define the strategy for AI-powered language products that enhance sports content creation and fan engagement.
● Lead development of automated live commentary systems using Large Language Models (LLMs), multimodal AI, and speech technologies.
● Architect intelligent pipelines that fuse vision, audio, and contextual match data into real-time insights and narratives.
● Evaluate and adopt emerging AI architectures to keep product capabilities ahead of the market.

3. Computer Vision & Model Development
● Direct the design, training, and optimization of computer vision models for live sports analytics.
● Guide algorithm development for image and video understanding, including player, ball, and object tracking.
● Set architecture direction across CNNs, Vision Transformers (ViTs), YOLO,

📌 Computer Vision Lead (Gurugram)
🏢 Zoom Communications
📍 Gurugram

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