I applied through a recruiter. I interviewed at LTIMindtree in Jul 2024
Interview
The interview centered on my GenAI experience, but the interviewer was unclear and expected specific answers to general questions. When discussing embeddings, I suggested using Encoder-only models. The interviewer incorrectly asserted that GPT can generate embeddings, revealing a lack of understanding of Transformer models. While GenAI is a new field, interviewers should avoid spreading misinformation as it reflects poorly on the company
Interview questions [1]
Question 1
Question on different techniques to create word embeddings
I applied through a recruiter. I interviewed at LTIMindtree
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 LTIMindtree 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
