Shift allowances Cab allowances Outings Trainings provided by company Fun activities Even for a chiller work, you will get a lot of appreciation.
Learning is zero, especially when you have joined as a fresher.
Leads don't care about the resource's career growth and learning.
Full of politics.
Performance rating is for name's sake; the rating can be changed anytime if you say a word against your manager or supervisor.
If you have started as a fresher, it's very difficult to switch projects.
Freshers are forced to take data monitoring type and support projects.
It doesn't matter if you have been rewarded as the best employee; it can get changed once you are out of the project.
Forcefully, every year, management will point out 10 percent of employees for PIP.
I never understood how the hikes have been allotted.
You will not get your own variable pay in full.
I will not refer anyone to join this company if you are career-oriented.
Please have some mercy and don't play with careers. If you want to lay off people, state the correct reason. Don't put them in PIP; it's disturbing and will affect someone's mental health.
Aptitude, coding, technical interview, and some HR questions. In aptitude, there are 90 questions and 2 coding questions. After clearing the coding round, there will be a communication round, and after communication, there will be a personal intervie
Nice interview. Lot of questions on machine learning basics: bias, variance, gradient descent, artificial neural networks, deep neural networks, support vector machines, k-nearest neighbors, bias-variance tradeoff, linear regression, logistic regress
Soft skills, quantitative math, logical reasoning, interview, group discussion, and then a final offer letter for selection. The package is 4.5 lakh as a Software Engineer.
Aptitude, coding, technical interview, and some HR questions. In aptitude, there are 90 questions and 2 coding questions. After clearing the coding round, there will be a communication round, and after communication, there will be a personal intervie
Nice interview. Lot of questions on machine learning basics: bias, variance, gradient descent, artificial neural networks, deep neural networks, support vector machines, k-nearest neighbors, bias-variance tradeoff, linear regression, logistic regress
Soft skills, quantitative math, logical reasoning, interview, group discussion, and then a final offer letter for selection. The package is 4.5 lakh as a Software Engineer.