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Ai Developer Technology Engineer Interview Questions

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3,647 ai developer technology engineer interview questions shared by candidates

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?
avatar

AI Prompt Engineer

Interviewed at Mapbox

3.5★
Aug 31, 2024

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?
avatar

AI Prompt Engineer

Interviewed at Mapbox

3.5★
Aug 31, 2024

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 .
avatar

AI/ML Engineer

Interviewed at Kloud9

4★
Jul 26, 2023

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 .

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