I applied through a recruiter. I interviewed at Welocalize (Noida) in Feb 2026
Interview
2 Rounds as of now - Both Technical
1st case a basic case of questions and DSA type of question discussion
2nd was a more difficult one, on the basics, scenario based
Interview questions [2]
Question 1
1. Asked to implement a simple Bag of Words vectorizer from scratch using only the Python standard library.
1.a. Over the BOW -> I created a function with '_' as starting - The interviewer asked why did I start it with '_'?
1.b. So what are we doing with the words that are not in our vocabulary (let’s say we wanna know we we are trying to factorise sentence that contains some words that are not in our purpose or vocabulary)
1.c. Lets say the vocab is growing to millions - How would you reduce the vocabulary size in this case, which is gonna be dimensional?
1.d. In the output of my vector - you can see where we can see that most of the elements in vectors are zero what does that signify?
1.e. Is this class CPU or GPU bound?
2. Spiral Matrix Leetcode - discussion and scenarios
Interview Round 2:
1. Project related questions and scenario based over that - Problems I faced and scenarios
2. What are unit tests and what are its uses?
3. Caching, what it introduces and why is it used?
4. Why people favour OOPs over functional
5. Precision vs recall (meaning and also scenario based where will I prefer what)
6. What do you understand by embeddings and why do we use them, do we use them in images and videos?
7. Lets say you are building a ML model and there is overfitting , what does it mean? what do you do and how do you reduce it?
8. Imbalanced data, what do you do?
9. Lets say GPT has memorised everything and it answers everything so overfitting helps us right? - Trick question