Computer Vision Engineer

0 years

10 - 40 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

🎯 About Us
Stupa builds cutting-edge AI for real-time sports intelligence ; automated commentary, player tracking, non-contact biomechanics, ball trajectory, LED graphics, and broadcast-grade stats. Your models will be seen live by millions across global events.🌍 Global TravelWork that literally travels the world. You’ll deploy systems at international tournaments across Asia, Europe, and the Middle East, working inside world-class stadiums, courts, and TV production rooms.✨ What You’ll Build
  • AI Language Products
  • Automated live commentary (LLM + ASR + OCR), real-time subtitles, AI storytelling.
  • Non-Contact Measurement (CV + Tracking + Pose Estimation)
  • Player velocity, footwork, acceleration, shot recognition, 2D/3D reconstruction, real-time edge inference.
  • End-to-End Streaming Pipelines
  • Temporal segmentation, multi-modal fusion, low-latency edge + cloud deployment.
🧠 What You’ll DoTrain and optimise ML/CV/NLP models for live sports, build tracking & pose pipelines, create LLM/ASR-based commentary systems, deploy on edge/cloud, ship rapid POCs→production, manage datasets & accuracy, and collaborate with product, engineering, and broadcast teams.🧩 Requirements

Core Skills

  • Strong ML fundamentals (NLP/CV/multimodal)
  • PyTorch/TensorFlow, transformers, ASR or pose estimation
  • Data pipelines, optimisation, evaluation
  • Deployment (Docker, ONNX, TensorRT, FastAPI, K8s, edge GPU)
  • Strong Python engineering

Bonus:

Sports analytics, LLM fine-tuning, low-latency optimisation, prior production ML systems.🌟 Why Join Us
  • Your models go LIVE in global sports broadcasts
  • International travel for tournaments
  • High ownership, zero bureaucracy
  • Build India’s most advanced AI × Sports product
  • Cool, futuristic problems + freedom to innovate
  • Up to ₹40LPA for exceptional talent
🔥 You Belong Here If You…
Build what the world hasn’t seen
  • Want impact on live sports
  • Thrive in fast-paced ownership-driven environments.
Skills:- Artificial Intelligence (AI) and Machine Learning (ML)

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