1. HR interview 2. 1st round interview: 30 mins, basic ML question 3. 2st round onsite: 5-6 hrs take home project, 2hr presentation. The hardest part would be onsite, many challenging questions. You have to find the best solution for the company. take home project is time-comsuming
Please go through your employment history over the last seven years and explain why you left each job.
They just ask where you want to go, the languages you are familiar with. More technical questions on the skills interview, just trying to know how knowledgeable you are on ML techniques.
Tell me a little about yourself?
Most question were asking me to elaborate on something from my resume, not difficult at all
Leadership styles. Various questions from a per-prepared pack of questions. No real conversation. Just a series of questions. All very one way. Having left the interview I felt they knew little about me and I knew less about them.
What is a compiler? Consider you are given an expression in a high-level programming language, such as '4 * (8 + 1)'. In a compiler, this expression would typically be converted into an abstract syntax tree for further processing. Describe how you would construct an abstract syntax tree for the given expression.
1. Organizzare il codice in classi seguendo principi di software design (SOLID etc) 3. Qual è il tuo modello di deep learning preferito e perché, come lo metteresti in prod 4. Cosa cambieresti del processo nella tua azienda dal punto di vista del dato
This was the first part of the recruiting process but it took me 40 minutes. Charades and questions about overall apps function. Not deep learning / data science questions at all! A waste of time, honestly...
1. Detail explanation about project 2. four pillars of OOPS 3.find the output the code snippet 4. Basic theory questions from all dsa
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