GlobalLogic

Role: AI Graduate Engineer Trainee (GET)

College: Not Specified (On-campus)

Interview Date: First week of Sept 2024

Interview Type: On-campus/Full-Time

Result: Selected

Difficulty: Easy to Medium (for coding questions)

Rounds: 3 rounds

Topics Asked: Coding (String manipulation, Prime numbers, String slicing - Python), MCQs (computer fundamentals, basic mathematics, NumPy), Fill-in-the-blanks (PostgreSQL), ML project discussion, OOP concepts, SQL basic queries, Behavioral (introduce self, hobbies, hometown, family, 5-year plan, why GlobalLogic, leadership, strengths/weaknesses)

Experience:

This experience is for an AI Graduate Engineer Trainee role during an on-campus drive. The selection process involved an online test, a technical interview, and an HR round.

Round 1: Online Test
Duration: 100 minutes. This round included coding questions, MCQs, and fill-in-the-blank questions. There were 3 coding questions, with difficulties ranging from easy to hard. The candidate solved 2.5 out of 3. Python was the only allowed language for this role. The test also had 10 MCQs on computer fundamentals and basic mathematics, and fill-in-the-blank type code for PostgreSQL (solved 2 out of 3 correctly). MCQs were mostly about the NumPy Library.

Coding Questions Mentioned:

• One question based on a string (easy to medium level).
• One medium-level question.
• One medium to hard-level question.

Round 2: Technical Interview
Duration: ~50 minutes. The interviewer reviewed the resume and asked for an introduction. Questions focused on:

• ML project mentioned in the resume, including the candidate's contribution to a group project.
• Python coding: write codes for prime numbers and string slicing.
• Python libraries.
• OOP concepts.
• Basic SQL queries.

The interviewer focused only on the information present in the resume.

Round 3: HR Round
Questions included:

• Introduce yourself.
• Hobbies, hometown, family.
• Where do you see yourself in the next 5 years?
• Why GlobalLogic?
• Any previous leadership experience.
• Strengths and weaknesses.