Data Scientist

Rapidly prototype and benchmark multiple computer vision approaches for anomaly and defect detection, including supervised detection and classification, unsupervised and semi-supervised anomaly detection, and modern foundation model based techniques on representative inspection imagery Build fair and reusable evaluation frameworks so that comparisons across methods are repeatable and credible across different asset types and defect categories Identify top-performing methodologies and clearly do…