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Interview Practice
Security hiring loops jump from OWASP basics to cloud hardening to "what do you do when the SIEM is on fire." Naming tools is cheap. Walking an attack path without theater is the round.
Interview Practice
System and ML-system design rounds test whether you can size a system, pick storage on purpose, and defend tradeoffs when the load jumps. Reading a blog of boxes leaves that skill untouched.
Interview Practice
A data science loop cares whether you can clean data without lying to yourself, pick a model you can explain, and design an A/B test that a PM won't accidentally break. The algorithm name is the easy part.
Interview Practice
MLOps loops ask how a model gets versioned, deployed, watched, and rolled back. Training accuracy is the easy slide. Drift at 2am is the job.
Interview Practice
Agent hiring loops test planning, tools, memory, and whether you know when retrieval should happen more than once. "We'll give it functions" opens a much longer answer.
Interview Practice
Hiring loops for LLM work keep coming back to evaluation, hallucination, cost, and what you put in the context window. Prompt tricks without that backbone don't survive a follow-up.