Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Walmart Global Tech
Colloquio
Recruiter doesn’t call you at your so said availability . Calls you out of the blue, when you are at work and asks. “Why Walmart?”
Basic ML and coding interview - Camera turned off, sleepy interviewer starts asking about metrics, “Why is ‘Linear’ regression a good classifier” and given the data how does ‘Linear’ regression do classification!!! Seriously the interviewer doesn’t know linear and logistic regression!!! I had high hopes on the Walmart standard, but proved to be worst. One coding question - medium level about arrays. Took sometime to solve it after being misguided by sleepy interviewer.
Got no reply from the genius people, not expecting too.
Domande di colloquio [1]
Domanda 1
HR, ML basic questions and 1 medium lvl coding question
Ho sostenuto un colloquio presso Walmart Global Tech
Colloquio
First is a hackerrank online assessment that you complete on your own time. Then is an interview where you have to be prepared for both technical and behavioral questions. The interviewer was super nice and I could tell they wanted me to succeed.
Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Walmart Global Tech (Bengaluru)
Colloquio
Resume Shortlisting, HR Phone Screen, Online assessment, Candidate background and Project Deep dive, Multiple Coding Rounds (Leetcode Easy/Medium Levels), Basic ML Breadth and Depth, ML Case study/Design based on IN3/In4 Levels, Hiring Manager Screen.
Ho sostenuto un colloquio presso Walmart Global Tech (Bentonville, AR)
Colloquio
Technical and behaviour round with hiring manager and team tech lead. Before this there was a written test that had SQL questions, probability problems and machine learning basics. In the technical round:
Gave a problem statement and asked to propose a solution and then optimize it. Then I asked few questions to clarify the data and proposed an initial solution using that data.
Domande di colloquio [1]
Domanda 1
Gave a problem statement and asked to propose a solution and then optimize it. Then I asked few questions to clarify the data and proposed an initial solution using that data.