Zycus Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 14 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Zycus.
Zycus
Machine Learning Engineer
Mid Average Positive experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Take home Onsite Background check Offer
Interview formats
Technical Case Behavioral
Okay so the interview process had 3 rounds. First they looked at my CV. Then the first round was MCQ questions about basic ML algorithms, deep learning, and NLP stuff. It was pretty moderate. The second round had technical and case study questions, where I had to explain how I would approach problems to get the answers. That was also moderate. The last round was an HR round, which was super easy.
Confirmed questions3 questions
- Can you tell me about BERT terminologies?
- What do you know about dropout?
- Can you explain Random Forest Algorithms?
Zycus
Machine Learning Engineer
Entry Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Take home
Interview formats
Behavioral Technical Coding Case Other
So there were 3 rounds in total. First round was a quick 15 mins chat about my nlp projects and then I was given a case study where I had to explain my approach. I passed that. Second round involved an assignment where I had to extract specific entities like Start Date, End Date, Renewal Days, Amount, 1st party name, and 2nd party name from rental documents. After submitting and getting shortlisted, the third round was a technical one with more case studies, but unfortunately, I didn't get through this one. I think they were looking for a researcher with over 10 years of experience, not someone with just 2 years.
Confirmed questions5 questions
- Can you describe the most challenging NLP project you've worked on?
- Could you explain LSTM and NER?
- What are your thoughts on these case studies?
Zycus
Machine Learning Engineer
Mid Average Negative experience No offer 2 rounds
Interview process
Technical screen Technical screen
Interview formats
Coding Technical
The interview process started with a 3.5-hour HackerEarth test, where I scored around 180/200, which qualified me for the next stage. The second round was a face-to-face technical interview. The interviewer was unprofessional, didn't introduce himself, insisted I turn on my camera while his was off, and was rude. He only asked me two questions. Even though I answered them well, he didn't seem satisfied. Later, I found out he had no prior experience in Data Science or ML, which explained his questions and reactions.
Confirmed questions1 question
- How would you train a machine learning model to perform binary addition?
Zycus Machine Learning Engineer Interview Questions
Quoted word for word from Zycus interview reports.
“Build a custom named entity recognition model.”
Read reports →“What are word embeddings?”
Read reports →“How do you extract entities from a PDF document?”
Read reports →“How would you train a machine learning model to perform binary addition?”
Read reports →“Explain the workings and applications of LSTMs in machine learning.”
Read report →“Can you explain word clouds?”
Read report →“Can you explain Random Forest Algorithms?”
Read report →“Could you explain LSTM and NER?”
Read report →“Can you tell me about LSTMs and GRUs?”
Read report →Formats, difficulty and experience
Across all 14 Zycus interview reports.