Technical test was about solving a machine learning (multi-class classification) task.
Machine Learning Scientist Interview Questions
467 machine learning scientist interview questions shared by candidates
I was asked to describe when I had applied machine learning algorithms at work.
Sehr technische Fragen bezüglich den Paper.
The questions differ from one position to another depending on the job needs, this is a general idea about what I got asked about: - Questions about LLM, Model compression techniques. - Behavioral questions: Work within the team, structure of work.. - Questions about the background.
1. Tell me something about yourself that is not on your CV. 2. Why do you want to work here? 3. I was asked to talk about my recent work
Describe role and responsibilities on one project
When are you available for a phone interview?
- SQL & Python (Basics) * Basic questions on SQL Joins, Unions, Filtering, String & Date functions, Aggregate functions. * Basic user defined functions, visualizations, pandas functions - SQL (Advanced) * Queries using window functions (Row Number, Rank, Dense Rank), sub-queries in SQL to check approach and logic to solve a problem - Python (Advanced) + ML * user defined functions * Asked to explain one of the projects listed on my resume, few basic ML questions * Exploratory data analysis questions - Apti & HR * questions on Number series and puzzles, basic statistical questions. * HR questions on background, personality check questions, why analytics, why dhiOmics.
In SQL questions were more related to window functions, joins, subqueries etc. In python questions were based on dataset filtering and visualization. In ML, questions were more related to concepts behind algorithms.(Linear regression, logistic regression etc)
Pruning of decision tree
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