Website:
pagaarindia.com
Job details:
We’re looking for a hands-on Search & Personalization leader to own and scale our Search platform end-to-end.
You’ll have the opportunity to architect Search from the ground up and evolve it from traditional retrieval & ranking to AI/ML-powered semantic search, personalization and intelligent discovery.
Experience from high-scale consumer internet/product companies such as Swiggy, Meesho, Flipkart, Amazon, Myntra, Zomato, Zepto or similar environments is highly relevant.
What You’ll Do
- Own the Search & Personalization roadmap, architecture and execution
- Build scalable, low-latency Search & Information Retrieval systems
- Solve problems across query understanding, retrieval, ranking, re-ranking & personalization
- Drive semantic search, embeddings, vector search & hybrid retrieval
- Apply ML/NLP/LLMs to improve search relevance and discovery
- Define relevance metrics, experimentation and A/B testing frameworks
- Lead and mentor engineers while staying hands-on technically
- Partner with Product, Data Science & Engineering teams
What We’re Looking For
- 6–9 years of software engineering experience
- Strong experience in Search / Relevance / Information Retrieval / Personalization
- Team Lead / Technical Leadership experience
- Strong understanding of indexing, retrieval, ranking & query understanding
- Hands-on with Elasticsearch / OpenSearch / Solr / Vespa or similar
- Experience with Learning-to-Rank, re-ranking & recommendation systems
- Experience with semantic search, embeddings, vector & hybrid search
- Exposure to ML/NLP/LLMs for Search or Discovery
- Strong distributed systems, scalability & low-latency engineering fundamentals
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If you’ve built or scaled Search at a high-volume consumer product and want to shape the next generation of AI-powered Search & Personalization, we’d love to hear from you!
Click on Apply to know more.