Ho presentato la mia candidatura online. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso SigTuple (Bengaluru) nel mese di mag 2021
Colloquio
They test theoretical background understanding in Image Processing, ML, mostly DL. They also test programming skills both online and offline, mostly related to ML. They discuss in-depth the projects in CV/resume.
Domande di colloquio [1]
Domanda 1
They asked about how can I improve the model performance by changing the loss function.
Ho presentato la mia candidatura online. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso SigTuple (Bengaluru) nel mese di mar 2021
Colloquio
There are multiple rounds
Round -1 : Coding (DS&Algo) - 3 Q
Round -2: DS Assignment
Round-3: Technical Interview
The technical interview focused on the assignment and basics of deep learning (especially convolutional networks), The interview process was pretty streamlined and it was a good learning experience.
Domande di colloquio [1]
Domanda 1
Questions on:
1. Activation Functions
2. Basic Functioning of Neural Networks
3. CNN Architecture
4. Resume based questions
5. Basics of Machine learning
Ho sostenuto un colloquio presso SigTuple (Bengaluru) nel mese di set 2017
Colloquio
I was contacted by the recruiter. I was called directly for onsite interview which would contain 4 rounds. 1st round was a 2 hrs online test. The test comprised of 2 problems, given 1 hour for each. I was expecting some data science problems, but the problems were out of context. People with good data structures knowledge would have easily solved the same. Still I was able to solve half of the problems using simple logics, but could not complete within 2 hours.
So I was not able to crack 1st round.
Domande di colloquio [1]
Domanda 1
Given a matrix, write a code to calculate the shortest path from left-top most element, to the right-bottom most element, such that at each step the value is multiplied with the previous value, the final value should have least number of zeros.