ML / GenAI Engineer mock interview with an AI interviewer
ML and GenAI interviews test whether you can ship models and LLM features that are accurate, safe, observable and affordable in production.
Start free setup Plan preview is free · ₹500 only when you start
What ML / GenAI Engineer interviewers assess
- ML fundamentals
- Training, evaluation, overfitting, data quality and drift.
- LLM applications
- RAG design, chunking, retrieval quality, prompting and guardrails.
- Evaluation
- Offline/online metrics, LLM-as-judge pitfalls, human review.
- MLOps
- Pipelines, model registry, deployment, monitoring and rollback.
- ML system design
- Latency, cost per request, caching and scaling inference.
Sample ML / GenAI Engineer interview questions
Your interview is generated from your own profile — these show the style and depth to expect.
- 1Your RAG chatbot gives confident wrong answers. How do you diagnose and fix it?
- 2How do you decide between fine-tuning and better retrieval?
- 3Design a recommendation system for a catalogue of 10 million items.
How the mock interview works
- Tell us your target role, level, skills, job description and resume — free.
- Our AI builds a 15-question plan for your exact profile and shows you the topics before you pay.
- Meera, your AI interviewer, asks each question by voice with live captions; you answer by voice or typing.
- Follow-ups probe vague answers, like a real panel.
- Get a 360° scorecard: competency scores with evidence, a rubric and model answer per question, and a 7-day prep plan.
Frequently asked questions
Is GenAI covered?
Yes — LLM apps, RAG, agents, evaluation and cost are common topics if you list them.
Is it for research roles?
It focuses on applied and production ML; research-heavy roles get model and evaluation depth.
When do I pay?
Setup and your personalised interview plan are free. You pay ₹500 only when you start the interview.
How long does it take?
About 2 minutes to set up and 25–30 minutes for the interview, which covers about 15 tailored questions.