Best to upskill, learn. Good benefits.
In ML, no scope of developing newer technologies. Hike based on company performance.
It was a somewhat tiring interview, it lasted almost 2 hours. It was completely in English with 2 engineers, both seemed to know very well what they were asking me about. They asked me questions about: * ML fundamentals * MLOps, particularly MLFlo
It was very effective and informative. The introduction by the interviewer about the company helped make the candidate feel comfortable, allowing them to answer questions more easily. Posing questions or scenarios in an understandable way helped us a
It went very smoothly. The interviewer asked questions from DSA, GitHub Repo, etc. They asked mostly about Python, but I have a Java background. The questions focused on trees, arrays, and linked lists, among other topics.
It was a somewhat tiring interview, it lasted almost 2 hours. It was completely in English with 2 engineers, both seemed to know very well what they were asking me about. They asked me questions about: * ML fundamentals * MLOps, particularly MLFlo
It was very effective and informative. The introduction by the interviewer about the company helped make the candidate feel comfortable, allowing them to answer questions more easily. Posing questions or scenarios in an understandable way helped us a
It went very smoothly. The interviewer asked questions from DSA, GitHub Repo, etc. They asked mostly about Python, but I have a Java background. The questions focused on trees, arrays, and linked lists, among other topics.