AI/ML Engineer signal: hash map + dedupe in a learning-to-rank pipeline context. This is a ProdMatch-owned ai ml engineer drill, framed as a April 2026 Razorpay Search ML simulation, not a copied platform question.
Company context
Razorpay · Search ML
Freshness
April 2026
Product surface
learning-to-rank pipeline
ProdMatch interview simulation based on product-team patterns; not a claim of a real company question.
For learning-to-rank pipeline, collapse duplicate documents by external ID. Keep the newest event per ID and return IDs in first-seen order.
Input
Output
Constraints
Concepts
[(a,1),(b,1),(a,3)] -> [(a,3),(b,1)]
Try framing your own approach first. The 30 seconds you think before peeking is where learning happens.
Reveal the approach first.
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