What tasks interest you and what do you want to do?
Machine Learning / AI
What are columnar databases and why are they better for analytics?
What solutions to adopt when there is a resource shortage for processing delayed requests?
What approaches are there to building data storage systems?
What is the difference between WHERE and HAVING in SQL and why use HAVING after GROUP BY?
Has there been experience in minimizing the size of a model or optimizing it?
What metrics are used for regression?
List the metrics of binary classification model quality and their differences?
What tools did you use for query analysis and optimization?
What is the difference between running a model on CPU and GPU?
How to balance the load between server replicas?
What regularization methods are applicable to neural networks?
What are the production issues of OCR (low resolution, skew, shadows)?
How to split data into groups using window functions in SQL?
Which technologies and areas are closest to you — classical ML, DS, or NLP?
What is a Docker image and why is it needed?
How does the base model differ from the instruct/chat model?