The questions mainly tested the candidate's grasp of knowledge for basic concepts in: biology, chemistry, biochemistry, statistical thinking, and machine learning. I was asked to talk through relevant experiences and to describe certain machine learning models that I had previously worked with.
What is machine learning/ ML?
What past experience do you have that will translate to this position?
How long did you operate machinery and for who.
What is the difference between an image and a container in Docker?
Q: Describe what are train, eval, test dataset.
Q: If eval dataset exists, why would we need test dataset?
Standard ML Engineer interview slate
Basic questions about CV, ML and data science fundamentals
propose a solution to NLP scenario given by the company's representative and the KPIs for the proposed solution.
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