good, it was helpful, smooth landing and good behaviour. A preliminary phone interview: Interviewers conduct a preliminary phone interview to understand whether a candidate possesses the required skills for the job. This can save time and effort spent on interviewing all candidates face to face and help streamline the pool. An appropriate skill test: A skill test is a good way to determine whether candidates can perform a job efficiently. There may be different kinds of skill tests to evaluate your personality or your suitability for a role. An in-person interview: To get an in-depth understanding of a person's background and abilities, interviewers often have to conduct an in-person interview. Interviewers can also inform the candidates about the work style and culture followed by the organisation or company. A group panel interview: In this stage, the panel may be comprised of people with different areas of expertise. Each panel member may ask you questions pertaining to a particular domain. Presentations: Interviewers can also ask candidates to prepare a slideshow, video or physical presentation that best illustrates their skills and abilities.
Me postulé a través de un reclutador. Acudí a una entrevista en LTIMindtree
Entrevista
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.
Me postulé en línea. Acudí a una entrevista en LTIMindtree en oct 2025
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 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
