I applied through college or university. I interviewed at Ford Motor Company (Warangal) in Dec 2025
Interview
The whole process had two steps
Step 1 : Online Assessment
consisting of many MCQ and 2 coding questions. The coding question has to be done in one of the four languages (Python, Java, JS, Go). And many MCQs were based on the challenges which is faced in production or scaling the software.
Step 2 - Interview
Whole Interview revolved around the Ai / ML domain basics. Supervised and Unsupervised learning, and everything related to this. Then some discussion on bagging and boosting techniques, how they are different etc. What are Ensemble Models ? At the end The interviewer asked to share my screen and code a sigmoid function in python. He asked me to go to internet and search for the mathematical formula of sigmoid and implement it, which I successfully did.
Interview questions [1]
Question 1
Difference between Bagging and Boosting techniques,
They ask technical as well as behavioural round questions on how we handle complex and stringent timelines. Whether we strictly adhere to company policies and procedures and provide smooth resolution..
Interview questions [1]
Question 1
How to behave in a situation of providing complex solutions
I applied through a recruiter. The process took 2 weeks. I interviewed at Ford Motor Company (Ottawa, ON) in Aug 2021
Interview
2 stage interview: behavioral screening and technical round. Behavior "screening" is a formality.
Technical round is a panel interview with an assortment of team leads, with a standard pool of questions from which few are randomly chosen
Interview questions [1]
Question 1
Python: 3 questions: Find if a given number is a prime
Find if 2 numbers in a given list add up to a target
Design a basic parent class and child classes to show you understand inheritance and decorators