JRD Systems

Search Relevance & Optimization Engineer

JRD Systems
Bengaluru Not disclosed
3 days ago
On-Site
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About the job

Search Relevance & Optimization Engineer (Elasticsearch | AI/ML | E-commerce Search) Job Overview We are seeking a Search Relevance & Optimization Engineer to improve the quality, ranking, and performance of product search experiences. The ideal candidate will have deep expertise in Elasticsearch relevance tuning, Search Through Rate (STR)/CTR optimization, and product search systems in e-commerce environments. This role will focus on improving search ranking algorithms, query understanding, indexing strategies, and AI/ML-driven relevance improvements to deliver high-quality search results for customers. Key Responsibilities Design, implement, and optimize search relevance strategies using Elasticsearch/OpenSearch Improve product discovery and ranking for large-scale e-commerce search platforms Analyze Search Through Rate (STR), CTR, conversion metrics, and other KPIs to improve search performance Develop and maintain search ranking models and relevance tuning strategies Optimize indexing pipelines, analyzers, tokenizers, synonyms, and scoring models Implement query optimization, personalization, and semantic search techniques Work with AI/ML models to improve ranking, recommendations, and query understanding Conduct A/B testing and experimentation to measure improvements in search quality Collaborate with product, data science, and engineering teams to improve search experiences Monitor and troubleshoot search latency, indexing performance, and search accuracy Required Skills & Experience 5+ years of experience in Search Engineering or Search Relevance roles Strong expertise with Elasticsearch / OpenSearch Experience with search relevance tuning and ranking algorithms Experience improving STR (Search Through Rate), CTR, and search conversion metrics Experience working with large-scale product catalogs in e-commerce platforms Strong knowledge of information retrieval concepts (TF-IDF, BM25, ranking models) Hands-on experience with query analysis, tokenization, stemming, synonyms, and analyzers Programming experience in Python, Java, or Scala Experience with A/B testing frameworks for search optimization Familiarity with data analysis tools (SQL, Spark, or analytics platforms)

Requirements

  • Elasticsearch
  • Search Relevance
  • AI/ML
  • E-commerce

Preferred Technologies

  • Elasticsearch
  • Search Relevance
  • AI/ML
  • E-commerce

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