System design: Design an app that helps blind people navigate an indoor space.
Machine Learning Engineer Interview Questions
6,166 machine learning engineer interview questions shared by candidates
Asked me questions on detailed Sharding during system design interview,
Contains 5 rounds of interviews: 1,2 -> Data Structure and Algorithms and I prepared from Leetcode, GFG and online resources on web/Ytube | Make sure to prepare Graph, Trees and DP -> Level of questions wasn't too hard but you should give multiple approaches and code one most optimal 3 -> ML/DL specific knowledge with focus on area of your choice like recommendation engine, NLP or Vision 4 -> ML System Design | Educative IO provide good course: Grokking the Machine Learning Interview | Talk about pipeline (Data Collection, preprocessing, model arch, loss function, optimization, Serving, Monitoring) | Write code in DL framework of your choice for suggested ML system Design 5 -> Behavioural interview | Googlyness | Why google, why this role, why a company change and similar ones.
Find the shortest path from top left to bottom right of a grid.
Past projects, what exits me about Lime?
They're looking for almost full stack engineer with focus on machine learning, and they emphasize on communication and presentation skills.
nothing really unexpected. it was a pretty reasonable eng interview.
General ML and NLP General RAG questions
En la prueba técnica del cliente te piden desarrollar un API que consuma un modelo de ML. Es obligatorio entregar: - Continuous Integration y Continuous Deliver - Testing - Endpoints en FastAPI - Despliegue en Google Cloud Entregan muy poco código hecho y un CSV. Además, piden implementar todo el ciclo de vida de un modelo de ML en 5 días
If you have billion records and you can access them only one at a time, how do you get 100 records randomly ?
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