Chat with recruiter, chat with hiring manager to assess fit.

Interactive technical screen in a Jupyter notebook to assess machine learning proficiency.

Technical architecture discussion on using AWS and other MLOps tech stack components and screen.

The technical interview screen was scheduled for a Friday evening. The interviewer seemed unhappy and exhausted. The questions were haphazard and seemingly random, as opposed to being consistent across candidates. While the role was a lead-level machine learning engineer, the interviewer seemed more focused on data science-oriented proficiencies.

Using a provided dataset, train a machine learning model for forecasting.