Screening with talent acquisition partner - 30 minute conversation on job role, company, new investment, team formation followed by 10 technical questions from software engineering, to ML modelling and MLOps inc Deployment and Cloud
Altre recensioni di colloqui per ML Engineer presso Faculty.ai
Ho presentato la mia candidatura tramite segnalazione di un dipendente. Ho sostenuto un colloquio presso Faculty.ai (Londra, Inghilterra) nel mese di apr 2026
Colloquio
First interview was a pair-programming exercise building a simple endpoint to a model, second interview was a system design exercise. They are not very difficult and familiarity with python, fastapi and huggingface's libraries are enough. For system design you need to know how to deploy models in real world scenarios.
Domande di colloquio [1]
Domanda 1
What is the difference between classical ML and deep learning?
1. A call with an internal recruiter with some technical questions.
2. An online test where you were meant to clear a dataset in front of 2 engineers. Live coding, able to use online tools.
Domande di colloquio [1]
Domanda 1
An online test where you were meant to clear a dataset in front of 2 engineers.
