Design, analyze, train, evaluate, and operationalize statistical or machine-learning systems. Use for data quality, experiments, causal inference, predictive modeling, deep learning, computer vision, fine-tuning, distributed training, or model monitoring; use application engineering for ordinary product architecture without an analytical or learned-model decision.
