Cureskin Interview Experience For ML Internship (Off-Campus)

I applied off-campus to Cureskin for an AI/ML intern position.

There were three rounds:

Round-1 (Screening Round)

First, there was a screening round where they had shortlisted some students for further rounds based on their Resume.

Round-2 (Technical Round-1)

Second, there was a Technical round where they had asked some ML questions from basic to medium level.

• Introduce Yourself.
• Types of Machine Learning Algorithms.
• What is regression?
• What is Logistic regression?
• What are activation functions?
• What is ReLu function?
• Why was Leaky-Relu used when we already had the ReLu function?
• How SVM is used for Classification tasks.
• How Gradient Descent algorithm work?
• What are some Opencv operations?
• what is GaussianBlur
• Suggestion: I would suggest you strengthen your basics of Machine Learning for this round because it was like a Q&A round.

Round-3 (Technical + HR)

It was a combined round they asked some HR questions then it was followed by Technical questions and then there was one task given and they asked me for an in-depth approach to solving it.

• Introduce Yourself.
• Have you ever worked in a team? Tell me the challenges you have faced working with the Team.
• Have you done any internships previously?
• What projects you have built or worked on during your internship?
• Detail discussion about the project
• Then he gave me a task and asked me the approach to solve it.
  • Task: Suppose you have to build a project from start to end to detect the Hair serum bottle. What will be your approach, How will you get the data, Suppose you have less number of images, How will you measure the Accuracy and so on?

Suggestion: Get strong on the foundation of Computer vision specifically, you can only crack this interview if you have in-depth knowledge of Computer vision. Be confident!!!

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