System Design

Outline the architecture for a distributed ML system that ensures reproducibility and version control of models and data.

Software EngineerEngineering ManagerTechnical Program ManagerMachine Learning Engineer

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Apple

Palantir Technologies

Akamai

Panasonic

Plaid

Did you come across this question in an interview?

  • Design a system that can efficiently manage compute resources for distributed training and inference.
  • Outline the architecture for a distributed ML system that ensures reproducibility and version control of models and data.
  • How would you approach designing a ML pipeline that supports both batch and online learning?
  • Develop a machine learning pipeline optimized for distributed training.
  • Build a machine learning pipeline that scales across distributed systems.
  • Create a machine learning pipeline for real-time data processing.
  • Build a machine learning pipeline for distributed environments.
  • Design a system for managing a distributed machine learning pipeline.

Interview question asked to Engineering Managers, Technical Program Managers, Software Engineers and other roles interviewing at Coursera, Benchling, StubHub and others: Outline the architecture for a distributed ML system that ensures reproducibility and version control of models and data..