I applied through a recruiter. The process took 3 days. I interviewed at LTM Limited (Chennai) in June 2024
Interview
The interview process included two technical rounds followed by a managerial round. I am an ex-Mindtree employee and left the company due to amazing people in the management and impeccable policies (which includes internal politics). During the interview, I openly discussed the challenges I faced, and the HR acknowledged that those issues existed but mentioned that most of them had been addressed. Despite clearing all the rounds and submitting the required documents, I didn’t receive an offer letter due to feedback from my previous team. That’s when I understood why the HR said most issues were resolved, but not all.
Interview questions [1]
Question 1
recent projects you've worked on and the challenges you encountered?
I applied through a recruiter. I interviewed at LTM Limited
Interview
The interview process consisted of a total of three rounds. The first round was a technical interview focused on core technical skills and problem-solving abilities. The second round included both technical and managerial discussions. The final round was an HR interview covering general discussions, company policies, and salary-related details.
I applied online. I interviewed at LTM Limited in Oct 2025
Interview
Interview Process was smooth. HR calls and asks for details and then Technical round happens with LTI mindtree client.If we clear this offer then we get offer. Questions are around ML, AI, NLP techniques , focuses more on projects we worked on.
Interview questions [1]
Question 1
1. Give brief about yourself.
2. Explain any project you have worked on based on ML,AI,NLP.
3. Did you face any hallucinations? How did you handle them?
4. How did you get the accuracy? Human evaluation?
5. What is self attention in transformer model?
6. Difference between stemming and lemmatization in NLP?
7. Named entity recognition?
8. What is part-of-speech tagging?
9. Any ML project, classification?
10. How do we decide root node for decision tree?
11. Imbalanced Dataset? How is it handled?
12. TFID vectorizer ? how does it work?
13. Deep Learning algorithm
14. what is vanishing gradient issue in DL?
15. Pooling or filters in DL?
16. Topic modeling in NLP.
4 people panel asked questions regarding machine learning deep learning transformers models a little about Gen Ai. Checking deep knowledge around all topics. The question are hard but can be cleared if someone have deep knowledge the model and why certain situation arise and what to do in that kind of situations