Tiger Analytics Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 11 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Tiger Analytics.
Tiger Analytics
Machine Learning Engineer
Senior Average Positive experience Accept offer 5 rounds
Interview process
Technical screen Onsite Recruiter call
Interview formats
System Design Technical
Had a great interview experience, it was 3 virtual technical rounds, 1 onsite technical round and 1 virtual HR round. Interviewers were nice, respectful and knew their stuff. The salary they offered was very competitive. Overall it was a great experience.
Confirmed questions2 questions
- Tell me about ML system design
- Can you explain one of your recent projects?
Tiger Analytics
Machine Learning Engineer
Mid Average Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical
I applied through their careers portal and a TA contacted me. The first round was a project round, followed by another project round. After that, they communicated that I would not be proceeded further. I suspect the position might have been fake, possibly to understand the projects and architectures of other companies.
Confirmed questions3 questions
- The interviewer seemed very interested in the architecture of the product I'm working on, asking detailed questions about the technologies used and their integration.
- Throughout the interview, questions focused on the 'why' and 'how' behind the technologies and their coupling within the product.
- After the second round, I started to feel suspicious as similar questions about the product's tech stack were asked, which seemed irrelevant to the position itself.
Tiger Analytics
AI/ML Engineer
Entry Difficult Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen Background check
Interview formats
Technical Coding Behavioral
I had a pretty bad experience with Tiger Analytics. It started with a recruiter call, then they asked for my availability for a technical round. I gave it right away, but then heard nothing for a month. Suddenly, they emailed me for a technical interview the next day. It was really inconvenient and last minute. I still did it, but then it's been two months since that interview and still no word. I've emailed them a bunch of times but they just ignore me. It's super unprofessional and disorganized. I wouldn't recommend them.
Confirmed questions2 questions
- Can you solve a graph-based coding problem using Python?
- Tell me about your AI/ML engineer projects and then I'll ask some questions about them.
Tiger Analytics Machine Learning Engineer Interview Questions
Quoted word for word from Tiger Analytics interview reports.
“Explain the differences between a list, a tuple, and a dictionary.”
Read reports →“Could you tell me what configuration files are in AWS SageMaker?”
Read reports →“Can you explain the details of docker networking?”
Read reports →“Can you solve a graph-based coding problem using Python?”
Read reports →“Can you explain what yield is?”
Read report →“What do you understand by decorators?”
Read report →“What are your thoughts on LLMs?”
Read report →“Tell me about ML algorithms.”
Read report →“Can you solve data structure and algorithm problems involving binary trees and graphs?”
Read report →Formats, difficulty and experience
Across all 11 Tiger Analytics interview reports.