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