Our textile customers inspect fabric at speed, and tiny defects can be expensive when they are missed. We already have image capture hardware in place. The model pipeline needs to get much better.
You will work on defect classification, anomaly detection, dataset review, and inference performance. The role is applied and production-focused.
Requirements
- Computer vision experience with quality inspection or anomaly detection
- Python and PyTorch proficiency
- Comfortable with class imbalance and small defect examples
- Can collaborate with hardware and operations teams