AI Role Interview Guide

A comprehensive guide for AI/ML interviews covering multiple roles and specializations.

Repository Structure

role-overview/

Contains detailed overviews and role descriptions for different positions:

• ml-engineer.md - Machine Learning Engineer role
• ai-engineer.md - AI Engineer role
• ai-research-engineer.md - AI Research Engineer role
• ai-architect.md - AI Architect role
• data-scientist.md - Data Scientist role

interview-questions/

Role-specific interview questions organized by position:

• ml-engineer/ - ML Engineer questions
• ai-engineer/ - AI Engineer questions
• ai-research-engineer/ - AI Research Engineer questions
• ai-architect/ - AI Architect questions
• data-scientist/ - Data Scientist questions

system-design/

System design resources:

• ml-systems.md - ML systems design
• ai-product-systems.md - AI product systems design
• research-pipelines.md - Research pipeline design

evaluation-and-metrics/

Evaluation criteria and metrics for assessment

deployment-and-ops/

Deployment strategies and operational considerations

ethics-and-risk/

Ethics and risk assessment for AI systems

resources/

Additional resources and references

Getting Started

Browse the role-overview directory to understand the different AI/ML roles, then explore role-specific interview questions.