This interview is for LLM Ops.

• First, a phone call interview for 15 minutes to introduce the company and role.

• Next comes the technical round, conducted by Karet and going to last for 45 minutes.

The interview process was as below:

• ML Fundamentals Q&A - 10 mins

  • Asked about hypothesis testing, supervised and unsupervised ML models' definitions, and overfitting and underfitting.

• Terraform and AWS Infrastructure Q&A - 10 mins

  • How do you facilitate the integration of AWS and Terraform?
  • How do you maintain data security in AWS according to HIPAA & GDPR?
  • How do you manage data encryption in AWS?

• ML System Design Q&A - 10 mins

  • After a model for detecting fraud in loan sanctioning is developed, how do you handle data shifts?
  • Why do data shifts take place?

• Scripting - 20 mins

  • Basic Python programming where I just used strings and lists to solve it. It was a very easy LeetCode question.