First of all, if you are a passionate MLE wannabe and you want to be able to do MLOps / model training & serving, don't bother with this role because they only want to hire a data engineer. The interview process was probably the longest and worst experience I have ever had. I interviewed with Faculty.ai through an agency, who was very patient and dedicated to support my journey for the Machine Learning Engineer role. I started the interview process with one of their Talent Hunter in October then we scheduled our technical interviews for the following week, but both interviewers cancelled on me TWICE for medical reasons. On the final technical interview call, it turned out to be two completely different interviewers. Then after my technical interview, the agent told me the feedback was good and Faculty was interested in having a third interview in mid November, but they are coordinating internally which team to assign me to and then I have never heard back from them ever since. They have also ghosted the agent as well. But by the time I have accepted an offer for an MLE role that is trully doing MLOps and paid much higher than Faculty does. Funny enough, their head hunter approached me on LinkedIn for the same position in January 2024.

The first stage was a discussion with the recruiter followed by a pair programming session with 2 engineers. We then ended the session discussing how we would deploy our code into a production environment - this aspect assesses MLOps concepts and software engineering practices.