ML Platform Design

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Scalable Feature Store with Online/Offline Consistency

Real-Time Feature Serving Layer (p99 < 50ms)

Billion-Scale Vector Search System

Distributed ML Training Platform (100B+ params)

ML Model Deployment & Serving Pipeline

Multi-Tenant Model Serving with Cost Attribution

CI/CD and Testing for ML Models

ML Observability & Auto-Rollback Platform

ML Metadata and Lineage Tracking System

Real-Time ML Data Ingestion Pipeline

Introduction

Introduction

By InterviewNotes

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Scalable Feature Store with Online/Offline Consistency →