I applied through university. I interviewed at IBM (New York, NY) in Aug 2025
Interview
Results-driven AI Engineer with 4+ years of experience designing, developing, and deploying end-to-end machine learning solutions
across NLP, computer vision, and predictive analytics. Proven expertise in building scalable AI pipelines, optimizing deep learning
models, and integrating solutions into enterprise systems. Skilled in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP,
Azure), with a strong track record of improving model accuracy, reducing inference latency, and delivering measurable business
impact. Adept at collaborating with cross-functional teams to translate business needs into high-performing AI products.
Interview questions [1]
Question 1
Programming & Scripting
Machine Learning & AI
MLOps & Deployment:
The first round was a tech assessment containing two questions one for testing arrays and strings and the other for testing database knowledge. But the questions were of medium level and not easy
Applied for the AI Engineer internship at IBM. Did not receive an interview, but I did complete the coding assessment. It consisted of two LeetCode-style questions, one easy and one medium. Both were straightforward standard algorithm problems, nothing AI or ML specific. No behavioral or technical interview stage was reached. Overall the process felt impersonal with no feedback provided on why I wasn't moved forward.
Interview questions [1]
Question 1
basic leetcode question you can see in easy/medium
Asked on project based questions, theory on basic ML, language based questions. I had three rounds. For my role Japanese communication was required. Hence one round was for communication. First round covered topics on machine learning, NLP. It was taken by senior person. Last round was managerial.
Interview questions [1]
Question 1
What is Underfitting and overfitting and its tradeoff