Questions were mostly based on my resume and previous experience.
Learning Technology Interview Questions
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Discussion on regression, the types of A.I. and their applications, how would I improve the accuracy of an A.I. visual inspection system in a manufacturing plant, etc. Tested basic understanding of A.I. and methods, and expected projects related to A.I. in the resume.
When have you designed content? What was your approach?
What is Bayes' Theorem?
How would you decide which learning and development programs to implement?
The interviewer asked me a case study based questions on Stats
Logic, CS, Statistic questions mainly
NLP , tokenization , lemmatization and about different approached are used in chatbot by building a model
What do you need from your direct line manager?
My experience with PhysicsX was unfortunately very disappointing and frustrating. Despite being informed of a structured interview process consisting of four rounds, only two technical interviews actually took place. The first round felt more like a formality (easy leetcode problems on Coderbyte), while the second involved a technical assessment centered around 3D datasets relevant to the day-to-day work at PhysicsX. It's worth noting that machine learning (ML) hadn't even entered the discussion at this point. The promised third round, which was supposed to delve into PyTorch and ML optimization, never occurred. Instead, I received a rejection, citing the need for stronger experience in PyTorch and optimization. What's particularly disheartening is that these skills were never even evaluated. This experience not only wasted my time but also left me feeling undervalued as a candidate. I would advise others to carefully weigh the potential time investment before considering opportunities with PhysicsX.
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