Clapgrow
Linkedin · Posted 5mo ago
Computer Vision Engineer
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Indexed description
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 on-site 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.
- 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.
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