Round 1 :- Q.1 Basic Introduction Q.2 About Project (also expect cross questions) Q.3 Some basic ML Terms and technical terms Q.4 Easy DSA questions Round 2 :- Q.1 Basic Introduction Q.2 About Project (also expect cross questions) Q.3 Medium level difficulty of DSA questions
Ml Engineer Interview Questions
2,740 ml engineer interview questions shared by candidates
Basics of Python and SQL, Foundations of Machine learning, Deep learning, Cloud platforms and previous experiences.
How would you design an infrastructure that supports the machine learning life cycle end-to-end?
How did you build a proprietary software(umm which we probably wish to build in my current organization).
First round Python, and pandas scenario based joining dataframes , explode and crosstab fxn to be used for achieving desired output. Next Related to pyspark where they give you scenario and one was related to api creation using python flask. Sql scenario Airflow and kubeflow knowledge check
Talk a about you previous work experience?
Tell me about your experience and projects.
Asked about Machine learning/Deep Learning - NLP-based questions like pre-processing techniques for NLP, overfitting, backpropagation, transformers, vanishing gradient, exploding gradient, LLM, RNN, activation functions, bias, and variance, about the Python Language. They also asked questions about your projects and past internships/jobs.
What are you working on currently in terms, why this role etc
Precision vs recall Data structure concepts
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