Data/ML/AI
Feature Engineering
Selecting and transforming raw data into the input variables ('features') a machine learning model actually learns from.
Think of it like
Like a chef deciding exactly which ingredients, and how much of each, actually belong in the recipe, instead of throwing the entire pantry into the pot.
Junior or senior?
Junior sounds like
Only calls pre-built model APIs.
Senior sounds like
Can describe a feature they engineered that meaningfully improved a model's performance.
Ask them
“Tell me about a feature you engineered that meaningfully improved a model's performance.”