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.
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.
About one of my projects using PINNs, how would you have done it without applying machine learning techniques?
How would you forecast the cost and what factors will you take into account?
write a SQL to find the person with the second highest salary, without using subquery
Cosa caratterizza i modelli di linguaggio come GPT e BERT?
Descrivi il tuo percorso accademico. Quali sono stati i progetti lavorativi che ti hanno particolarmente colpito?
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