Machine Learning (ML)🎯 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 Travel
Work 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 Do
Train 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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