Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Could you tell us about yourself? What is it specifically that makes you want to pursue data and AI as a career? What commercial uses of Machine Learning have you seen or researched and why has the impact been so high? Could you please give us some examples of your work with data or analytics tools either from university or a previous job?
What is virtual in C++?
General questions related to classical image processing and classical machine learning.
Case study on how to build ML system in large scale.
Spiega le motivazioni che ti hanno spinto a fare le tue scelte di università.
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.
domande di background, scelte personali, istruzione
Why do you want this role?
They gave a relevant use case that I had to solve to the job I had to do,
Algoritmi di clustering. Metriche di bontà del clustering. Come affronto dei dati nuovi. Esperienza con Spark, esperienza con Terraform.
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