Ml Engineer Interview Questions

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They asked me to explain how I would design a scalable ML pipeline for real-time anomaly detection. I walked through a modular architecture using Kafka for ingestion, PyTorch for modeling, and a monitoring layer with Prometheus. I emphasized reproducibility, latency constraints, and fallback mechanisms.
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ML Engineer

Interviewed at Detectify

4.5
Oct 30, 2025

They asked me to explain how I would design a scalable ML pipeline for real-time anomaly detection. I walked through a modular architecture using Kafka for ingestion, PyTorch for modeling, and a monitoring layer with Prometheus. I emphasized reproducibility, latency constraints, and fallback mechanisms.

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