Responsibilities

- Build and deploy AI-powered vision systems (defect detection, pattern recognition, workflow monitoring) for our manufacturing and foundry clients.

- Work with NVIDIA Jetson edge devices (Xavier/Orin) for in office deployment at client locations.

- Handle the full cycle: data collection, labelling, model training, optimisation, and deployment on edge hardware.

- Visit client factory/shop floors as needed for installation and calibration.

Requirements

- Hands-on experience with NVIDIA Jetson (Nano/Xavier/Orin).

- Computer vision and deep learning: YOLO, object detection, image classification.

- PyTorch or TensorFlow.

- TensorRT or NVIDIA DeepStream for edge inference.

- Python, Linux/Ubuntu.

- Experience training custom models on real-world datasets (not just Kaggle).

- Defect detection or anomaly detection in manufacturing/industrial settings.

- NVIDIA TAO Toolkit.

- Industrial camera integration (GigE Vision, RTSP).

- ONNX model conversion and optimisation.

- MLOps basics: model versioning, retraining pipelines.

This job was posted by Debolina Roy Chowdhury from Clapgrow Technology.

📌 Computer Vision Engineer (Kolkata Metropolitan Area)
🏢 Clapgrow
📍 Kolkata Metropolitan Area