Graduate Engineering Trainee (GET) applicants have rated the interview process at LTIMindtree with 2.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 66.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Graduate Engineering Trainee (GET) roles take an average of 14 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at LTIMindtree overall takes an average of 20 days.
Common stages of the interview process at LTIMindtree as a Graduate Engineering Trainee (GET) according to 3 Glassdoor interviews include:
Group panel interview: 100%
Here are the most commonly searched roles for interview reports -
Interview process involves 2 rounds of interview. First is technical and second is managerial round. After that the last interview is with HR where salary discussion and other perks and benefits will be discussed.
Interview questions [1]
Question 1
What is sorting and different types of sorting techniques
I applied through college or university. The process took 4 weeks. I interviewed at LTIMindtree (Sat home) in Oct 2023
Interview
They asked me to introduce myself,then asked some question on OOPS,DBMS,SDLC.Asked me what domain i am familiar with as i was from non-tech backgroud,asked what is AI/ML.At the end asked me to write a smiple code
Interview questions [1]
Question 1
Introduce yourself. WHat is difference between operator & function overloading. What is SDLC. DDL,DML commands
I applied through college or university. I interviewed at LTIMindtree (Pune) in Sep 2023
Interview
1. The initial stage of the assessment consists of the first round, which combines fundamental aptitude testing and evaluation of English communication skills. 2. Following this, candidates encounter the coding round, where they encounter two relatively straightforward problems revolving around array manipulation. The coding round's challenges focus on tasks related to array sorting and searching, examining the candidates' algorithmic and problem-solving abilities in this specific context.