Mostly ask K-means clustering as part of coding exercise in 2nd interview
Ai Developer Technology Engineer Interview Questions
3,095 ai developer technology engineer interview questions shared by candidates
We walked through the programming exercises and I was asked to explain a little bit what i was doing. We talked about alternative ways and discussed some algorithms.
Easy to medium Python and SQL in 1st round, In 2nd round i was asked to write sql query for a join type question and to check whether a number is palindrome or not in python, What is LLM, Basics of AI/ML
Data Science, API, SQL, Final year projects
A challenge that you faced previously
Describe a time you were wrong, how did you go about fixing it.
Disagreeing with your peers or Manager - how did you use data to push back on a decision and persuade and get buy-in from your peers/Manager? Have you ever not been able to meet a commitment with a customer, teammate, etc.? How do you look for possible roadblocks within a team setting while working on a project? Do you look 2-4 steps ahead while focusing on your current tasks?
What type of obstacles have you overcome during a project or when working towards an important goal? Architecture: How does data flow? How does the new service integrate with other/existing services? Which frameworks/tools to use?
1- interview question on project whatever you mention on resume. 2-role & responsibility in the current project. 3-basic question on Python & Py spark. a- pyspark coding question on basic understanding. define a model building in pyspark. b- difference bt map reduce and pyspark. c- why pyspark used instead on pandas? 4- coding questions on the list, indexing, and a-how to convert a number into an Indian currency format. (1234567) to (12,34,567) b-slicing on the list. c- one list within tuple format and how to be sorted on ascending order. Let come to domain knowledge -> 1- difference b/t linear regression and decision tree 2- define decision tree 3- use of Gini index in the decision tree. 4-why you using a decision tree over linear or logistics regression? 5-question on ChatGPT as i have mention ChatGPT. use of ChatGPT on real time, 6-difference b/t ChatGPT and Bert. 7 - one scenario case question on NLP, if i want to predict a word on the question (i want to _______ ) , which techniques use for that? 8- question on deep learning. - difference b/t dl & ml & ai. 9- difference b/t data scientist & ml engineer. 10- types of ml (supervised, unsupervised & semi-supervised & reinforcement learning). some examples of that. 11- CNN, computer vision, OpenCV, etc. 12- one business use case on (100, 200, 300, 500 & 1 cr ) how use central tendency (mean , median , mode) - how to get an outlier, how to handle missing value, mean affected the outlier & why, why they are using median over mean & why, where to use mode. 13- evaluation metrics & types & difference bt them. - recall & precision .
What is Merge sort complexity
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