CDOT

Role: AI/ML Engineer (2+ years of experience)

College: Not Specified

Interview Date: November 11, 2025 (Interpreted as a recent experience)

Interview Type: Off-Campus/Full-Time (Contractual)

Result: Not Specified

Difficulty: Easy to Medium

Rounds: 2 rounds

Topics Asked: Machine Learning, Projects, Behavioral

Experience:

The process began with an HR contact via Naukri for an AI/ML Engineer position requiring 2+ years of experience. The role was contractual for 2 years with a possibility of extension.

Interview Scheduling: The HR scheduled the interview, which was surprisingly short (25 minutes) and consisted of two rounds: one technical and one HR.

Technical Interview:
The interview started with an introduction, followed by a discussion of the candidate's projects. The pace was fast due to the short 25-minute window. Questions focused on basic machine learning concepts.

• "What is bias and variance, and what's the difference between them?"
• "Define overfitting and underfitting."
• "Explain SVM (Support Vector Machine) and its working."

The candidate found all questions fairly simple.

HR Round: Not explicitly detailed, but implied as a separate round.

Final Thoughts/Tips: The C-DOT interview was short and straightforward, mainly focusing on basic ML concepts. Candidates should revise fundamentals of Machine Learning and core algorithms. Be prepared for a contractual position and possibly a brief interview process. Patience is key for feedback.