Multi-dimensional competency assessment for the Computer Vision Engineer role — Cognitive Aptitude (numerical & logical reasoning), Role Knowledge, Situational Judgement and a hands-on auto-graded Coding round. Proctored; produces a competency profile, not a single MCQ score. Skills assessed: Image processing with OpenCV, deep learning model development using TensorFlow or PyTorch, convolutional neural network (CNN) architecture design, data annotation and augmentation techniques, object detection algorithms (e.g., YOLO, Faster R-CNN), image segmentation methods (e.g., U-Net, Mask R-CNN), camera calibration and stereo vision, evaluation metrics for computer vision models (e.g., mAP, IoU)..
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