Who should own "MLOps" in an organization? (paraphrasing here)
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The question were mainly about different methods for classification
Erzähle uns, was dich antreibt und bewegt.
-Programming questions on predictive modeling?
- Scenarios were given and you have you tell which algorithm fits best?
Tell me about yourself Why you choose ml Why searce If you have to explain ml to a 15 year student how will you explain Some puzzles Basic dsa questions
Casual basics about cloud , ML in production and basic algorithms
Some questions included: Please introduce yourself and give us an overview of your experience. What do you know about our organization? Why do you want to work for our organization? How would you facilitate a culture of MEL at the ISF? Provide examples of effective cross-cultural communication. Provide an example of a challenge you encountered at work and how you overcame it.
First round - how would you deal with fast paced startup like environment? Second round - case study questions Third round - scenarios and behavioural questions
phone interview: one hour coding interview.
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