SYSTEM DESIGN | AI/ML Mock Interview with Monica Kothari

AI/ML system design interviews require a different level of thinking. Beyond designing scalable systems, you may need to reason about data, models, training and inference, evaluation, latency, cost, reliability and the trade-offs between them.

This 1:1 mock interview is designed for candidates preparing for AI/ML, ML Engineering, Applied AI, GenAI and senior technical roles.

We’ll work through a realistic AI/ML system design problem, with follow-up questions and probing similar to an actual interview.

Depending on the role, we can explore:

• ML/AI architecture and system components

• Data pipelines, training and inference

• Model serving, scalability and latency

• Evaluation, monitoring and reliability

• RAG, LLM and GenAI architectures

• Recommendations, NLP or other ML systems

• Cost, performance and design trade-offs

You’ll receive structured feedback on your technical depth, design approach, trade-off reasoning and communication, along with specific areas to improve.