---
title: "ML system design"
description: "System design for machine learning — serving, retrieval, and training infrastructure patterns behind production AI systems."
canonical_url: "https://fanout.sh/ai/system-design"
md_url: "https://fanout.sh/ai/system-design.md"
access: "public"
---

# ML system design

System design for machine learning — serving, retrieval, and training infrastructure patterns behind production AI systems.

## Topics

### Data Pipeline Design

Ingestion, validation, transformation, and storage at scale. Build reliable ETL/ELT pipelines with tools like Apache Beam, Spark, or Dagster. Handle schema evolution, data versioning, and lineage tracking.

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