Role: Machine Learning Engineer Intern
BackGround: Tier 2 Institute CSE BTech

Technical Round - 1 (1 Hour) - Interviewed by Data Scientist 3
Interviewer: Data Scientist 3
Duration: 1 Hour

Content:

Machine Learning Situation-Based Problems:

I was asked to share my screen and explain solutions to machine learning problems. This likely involved discussing real-world scenarios, model selection, and problem-solving approaches.

DSA Questions:

The interview also included two Data Structure and Algorithm (DSA) questions related to Doubly Linked Lists. This tested my ability to apply foundational computer science concepts to problem-solving.

Technical Round - 2 (1 Hour) - Interviewed by Engineering Manager
Interviewer: Engineering Manager
Duration: 1 Hour

Content:

Resume Project Deep Dive:

The interview involved a thorough examination of the projects listed on my resume. I was asked to provide detailed explanations of the projects, the problems I aimed to solve, the methodologies I employed, and the outcomes.

LSTM Architecture and Mathematical Equations:

I was asked to share your screen to explain the architecture of Long Short-Term Memory (LSTM) networks. This would involve discussing the layers, activation functions, and the flow of information within the network. Additionally, I was questioned on the mathematical equations behind LSTM, demonstrating your understanding of the underlying principles.

Results: Selected