E-Commerce Search Engineer

4 days ago


Pacific Remote Islands Marine National Monument, India Divit Techologies Full time
  • Architect, design, and implement scalable search solutions using Elasticsearch, Solr, and Java for eCommerce platforms.
  • Develop product relevance ranking algorithms, leveraging machine learning, NLP, and search tuning techniques.
  • Optimize query performance, indexing strategies, and ranking models to enhance search accuracy and speed.
  • Implement semantic search, personalized recommendations, and dynamic ranking models to improve user experience.
  • Work with clickstream data, behavioral analytics, and A/B testing to measure and improve search effectiveness.
  • Collaborate with data scientists and engineers to integrate AI-driven search enhancements into the platform.
  • Enhance facet filtering, auto-suggestions, synonym handling, and search result diversification for better user engagement.
  • Monitor search performance, troubleshoot issues, and implement improvements to support business growth.
  • Stay up to date with the latest advancements in search technologies, NLP, vector search, and eCommerce trends.14+ years of experience in search engineering, with a strong focus on Elasticsearch, Solr, and Java.
  • Proven experience in eCommerce search, product relevance ranking, and personalized search experiences.
  • Expertise in query understanding, ranking signals, boosting strategies, and dynamic ranking models.
  • Experience with vector search, NLP, and machine learning-based search optimizations.
  • Deep knowledge of distributed search architectures, indexing, and scaling strategies.
  • Strong understanding of RESTful APIs, microservices, and cloud-based search deployments (AWS, Google Cloud Platform, or Azure).Familiarity with big data processing frameworks (Spark, Kafka) and logging tools for search analytics.
  • Experience with A/B testing and search metric evaluation (CTR, MRR, NDCG, recall/precision).Strong problem-solving skills, with the ability to diagnose and optimize complex search performance issues.

Job Type: Full-time

Pay: From ₹2,000,000.00 per year

Work Location: Remote



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