The interview process in fractal is medium to hard level. 3 rounds all technical and 1 HR round and 1 initial online coding round. They ask whatever added in the resume and might also ask problems to solve on the go. 2nd round will be based on projects worked on and 3rd technical manager round
I applied through an employee referral. The process took 1+ week. I interviewed at Fractal (Bengaluru) in Sept 2021
Interview
The interview process was easy and well communicated.
Jesvin made sure that I understood everything related to the interview.
It all started with DoSelect coding test, 3 days after clearing which I had my technical round.
Interview questions [1]
Question 1
There were questions on Spark, some pseudo coding and come scenario based case study problems.
I applied through a recruiter. The process took 3 weeks. I interviewed at Fractal (Bengaluru) in June 2021
Interview
I had an interview for the Senior engineer MLOps position in Fractal. HR approached me through LinkedIn, and from there interview process started. Overall it took 2 to 3 weeks. The entire interview process was virtual on MS Teams video calls. Total four rounds - coding, technical discussion, managerial + technical discussion, HR.
Overall I had an outstanding experience throughout the process. I got timely feedback. Thanks to HR, the process was extremely smooth.
Interview Process:
First-round will be a coding challenge where you will be given some python coding question that needs to complete in 50-60 minutes. Total four coding questions.
The second round will be a technical discussion. You will be asked questions on deployment strategies, automation, data/ML pipeline, model re-training, experimentation and tracking, ML model monitoring factors.
The third round will be mix with managerial and technical discussion. Mostly it will be a casual discussion, but you can expect some technical questions.
Forth round will be an HR round primarily focused on behavioral and cultural fit and how you are aligned with the company's culture.
Interview questions [1]
Question 1
Deployment strategies and automation
Data/ML pipeline
Model re-training
Experimentation and tracking
ML model monitoring