One interview round took place in the Toronto HQ for the Omnia AI team, consisting of behavioral cases along with a few technical questions regarding AI/ML & classification algorithms.

There wasn't any whiteboard coding interview, but this can vary depending on your interviewer.

Typically, they just ask technical questions for you to explain verbally to see how you think.

The interview lasted about an hour.

I got a call back in two weeks with the offer, in which I had about a week to decide if I wanted to sign.

What is the difference between AI and ML?

Tell me when you used a particular ML algorithm (based on projects on your resume) and why you chose that. Is there anything you would change? Did it meet the desired goal or requirement?

They may ask you specifics about certain algorithms if you are applying for a data science role. However, for data engineering, it's less likely they'll do that and could possibly ask you questions about your experience with big data and any projects or problems you've had to solve regarding it.