Got an email from the recruiter that a manager wanted to interview me for an internship position in his team. We scheduled the 2 video interviews spaced one day apart. The interview covered behavioral, technical(ML questions) and coding. Their was one ML design question. For the ML questions it was basic things like explain gradient descent, loss functions, difference between batch/stochastic gradient descent, difference between L1/L2 regularization and what they do and then questions about the projects I have worked on. It helps to understand the basics. Coding was leetcode easy (first interview) and medium (second interview).
Ai Developer Technology Engineer Interview Questions
3,110 ai developer technology engineer interview questions shared by candidates
Various questions pertaining to statistics.
Say an AI system works like this, but there's an accuracy issue. What measures would you take to improve system accuracy.
model evaluation metrics, bias-variance tradeoff, overfitting, feature engineering, and real-world ML use cases.
Tech questions about programming, optimization, design and architecture Questions by designers with use cases, situations, approaches to system design Background and previous experiences questions
Let's continue with your work experience. Tell us a bit more about your second most recent role:
Why did you leave your last company?
How to authenticate your applications when making requests to the Azure storage account?
Rag and agentic framework and its application
They asked about ml projects you have worked on? How apis are used in ml projects ?
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