Own the detection and tracking models that turn live camera feeds into decision-grade events. Youll take models from research to production on real deployments running thousands of cameras, on-prem and air-gapped.

What youll do

- Design, train and optimize detection, tracking and re-identification models for live video.
- Push inference to run efficiently on edge and on-prem GPUs (TensorRT, ONNX, quantization).
- Build evaluation pipelines that measure accuracy against real-world deployment data.
- Work with deployment engineers to tune models for each customers cameras and scenes.

What we look for

- 4+ years in computer vision / deep learning with production models shipped.
- Strong Python and PyTorch; solid grasp of contemporary detection tracking architectures.
- Experience optimizing inference for real-time, resource-constrained environments.
- Pragmatic about the gap between benchmark metrics and field performance.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Computer Vision Engineer (Pune)
🏢 Pivotchain Solutions
📍 Pune