Multi-dimensional competency assessment for the NLP 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: Python programming, TensorFlow or PyTorch proficiency, experience with Hugging Face Transformers, knowledge of BERT/GPT architectures, text preprocessing techniques, Named Entity Recognition (NER) implementation, RESTful API development, evaluation metrics for NLP models (e.g., F1 score, BLEU)..
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