1. 30 mins Recruiter phone call About your experience and how it fits with the job responsibilities and does candidate possess necessary skills or not 2. Hiring Manager round around 50 mins Introductions, your resume discussions, behavioral questions, ML system design 3. Panel interview - I (1 hour) ML agorithms including statistical and deep learning, given a problem statement, what ML algorithm will you choose and why, what are the features and metrics you will consider 4. Panel Interview - II (1 hour) 30 mins SQL coding 2 questions 1 intermediate - involves joins 1 advanced - involves joins, subqueries and edge cases (making sure the data is in right format) 30 Mins MLOps interview CI/CD pipelines - must explain every minute detail Real time and batch processing - must explain every minute detail data distributions shift 5. ML system design - 45 mins comprehensive 6. Leadership interview
Cientifico Ii Interview Questions
104 cientifico ii interview questions shared by candidates
Questions around ensembles,deep learning, over and undercutting prevention etc
Coding two DSA, one python modeling question , where you will be given dataset to work with
you should be able to code in python
Which programming languages do you know?
Take home assessment and experience based questions. You’re not getting more than that ;p
1. SQL Joins, Window functions (very very basic) 2. How do you diagnose the problem on a new feature in DoorDash
Q8: What are your strengths?
Q5: Do you know NLP, and what experience do you have about it?
Python questions, SQL questions, PPT project presentation, Management interview, Take-home project presentation
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