Technical Interview 1 :
How to reduce the ML Model Size ?
Explain the process of Quantization,Knowledge Distlliation & prunning
What is difference between Quantized aware Training and post training quantization ?
Why Prunning is most effective in Tree Based Models ?
Have you done any project Relevant to Training Machine learning Models on edge Devices ?
Do you worked with Raspberry pi/ ESP 32 / Arduino ?
What is Yolov8 , its applications and types ?
what are efficient ways/tools to prepare and annotate dataset for yolov8 ?
what is non maximum supression in yolov8 ?
How does compilers work ?
What is the difference between static and dynamic Linking ?
what are different formats in which ML Models can be saved ?
what is CNN ?
what different type of preprocessing do you do in CNN?
what is normalization ?
Technical Interview 2 :
What are Heaps ? How heaps are used for memory allocation & Management ?
what is difference between python and java ?
what is python virtual machine ?
what is difference between list and tuple ?
what is a linked list ? write a code to reverse a linked list.
what is logistic regression ?
explain bell shaped curve in logistic regression
Explain bias vs variance tradeoff in context of machine learning
what are pointers in C ?
what is difference between structures and union in c ?
Based on Resume :
Explain your project..
what is the size of dataset, what processing you do and which models you applied ?
what is accuracy of your regression Model ?
what are AR,MA,ARMA AND ARIMA ?
why you choose fb prophet for time series forecasting over traditional LSTM ?
How to develop a full stack Machine learning Website ? give flow
HR :
Do you any plans for Future Education or MS ?
what is your overall interviews experience ?
what is your permanant address ?
How you tackle challeges in a team ?
what are your hobbies ?
where do you stay in Pune ?
VERDICT : SELECTED