I applied online. I interviewed at Honeywell in Jan 2026
Interview
Started with a short phone call where you give a quick 30 second overview of your experience working in machine learning followed by the recruiter asking you to rate your proficiency from 1-5 on different technologies such as Databricks, Docker, Pytorch, Langchain, etc.. After the call you are then sent an online assessment
Interview questions [1]
Question 1
One of the questions in the online assessments asked you to train a random forest algorithm on a dataset they provide you.
2 Hiring Manager rounds 1 Online Assessment 1 final round next hiring manager round is more technical . Final Round is panel with 1 hour interview. Online assessment is easy. 1> Tell me about yourself. 2> Explain your past experiences
First there was an online assessment on Hackerrank. Then I was shortlisted for interview. The interview went really well. I was asked questions about the ML projects in my CV and some conceptual questions
Interview questions [4]
Question 1
What is supervised, unsupervised and reinforcement learning?
