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Data & AI

AI Engineer

A comprehensive guide covering Core ML, Deep Learning, LLMs, NLP, System Design, MLOps, and Computer Vision for AI and Machine Learning roles.

150 questionsUpdated 2026-02-04BeginnerIntermediateAdvanced

What you will be asked about

Core MLDeep LearningLLMs & NLPML EngineeringSystem DesignCodingFrameworksMLOpsData EngineeringComputer VisionReal ScenariosBehavioralMathematics

How to prepare

  • Go through the topic list above and mark every one you cannot explain for five minutes unprepared. Those are your gaps.
  • Pair every concept with a story from your own work — interviewers probe depth, and depth comes from having actually done it.
  • Do the DSA rounds anyway. Almost every role in this list still screens with coding.
  • Prepare two projects you can whiteboard end to end, including what you would change now.

Also do

→ 22 DSA Patterns sheet→ System design sheet→ HR & behavioural questions→ Cold email templates for referrals

AI Engineer interview questions150

150 of 150 questions

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