Aspiring

I'm currently preparing to land a role as an AI Engineer or Machine Learning Engineer in companies like big 4. Over the past year, I’ve built a pretty solid base in Python, machine learning, deep learning, and now more advanced stuff like AI agents, LangGraph, LangChain, RAG pipelines, and recently started diving into multi-agent systems using AutoGen. I’ve been building hands-on projects and staying consistent, but now I want to focus my prep toward the actual interview process. So if any of you are working in Big 4 or similar companies I’d genuinely love to hear from you. What kind of questions did they ask you during interviews? Was it more about ML theory, coding, or systems design? Did your projects matter, or was it more about DSA and CS fundamentals? Also, how did you prepare? Any resources, mock interview platforms, or strategies you found helpful? I’m especially curious about what you wish you knew earlier or would’ve done differently.