In the competitive landscape of AI engineering, by Ali Aminian and Alex Xu has emerged as a cornerstone resource. This guide moves beyond simple algorithms to address the architectural complexity of deploying ML at scale. The 7-Step Framework for ML Design
: Track system performance (CPU, Memory, Latency) alongside ML health ( Data Drift via Population Stability Index, and Concept Drift via rolling precision/recall metrics). In the competitive landscape of AI engineering, by
: Design the high-level infrastructure, including model serving (batch vs. online), caching, and storage. Evaluation including model serving (batch vs. online)
: Understand the business goal (e.g., "Increase CTR") and system constraints (e.g., latency under 200ms). "Increase CTR") and system constraints (e.g.