MakeMyTrip
Online travel booking platform; ML for pricing and ranking, GenAI booking help
Interview in a few hours? A quick sprint for MakeMyTrip
AI in interviews
No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.
Typical interview loop
How MakeMyTrip usually runs it for applied AI and LLM engineer roles.
- Focus: DSA, Python
Coding screen
Even data scientists start with a hands-on data-structures round; the code is expected to be clean and efficient, not just correct.
- Focus: ML depth, model evaluation
ML technical assessment
Progressively harder technical rounds on how models actually work, how you evaluate them and how you engineer features, often anchored on your past projects.
- Focus: Problem framing, scalability
Case study session
An open-ended travel-product problem where you set the business goal and metrics first, then propose a model or system that holds up at scale and under latency limits.
- Focus: Judgment, stakeholder skills
Managerial discussion
A closing conversation with a manager or leader about how you handled conflict, deadlines and influencing decisions with data.
How it weights your plan
Selecting MakeMyTrip when you build a plan multiplies each topic’s priority score:
Official prep and resources
Public candidate write-ups
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