Multi-dimensional competency assessment for the Machine Learning 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, data preprocessing techniques, model evaluation metrics, SQL for data querying, feature engineering, cloud ML platforms (e.g., AWS SageMaker), version control with Git.
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