Senior Search Architect

2 weeks ago


India DeepConverse Full time

Unlock Exceptional User Experiences with DeepConverse

We're seeking an experienced Search/Information Retrieval Engineer to design, develop, and optimize search solutions that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of information retrieval systems.

About the Role

  • Design and implement advanced search functionality using modern search technologies (such as Elasticsearch, Solr, or similar platforms)
  • Develop high-quality, scalable search applications with focus on relevancy, performance, and user experience
  • Create and optimize search algorithms, ranking models, and retrieval methods
  • Implement and fine-tune query understanding, text analysis, and relevance scoring
  • Analyze and maintain existing search infrastructure and applications
  • Design and execute A/B tests to measure search quality improvements
  • Develop efficient indexing strategies and data preparation pipelines
  • Implement machine learning models for search ranking
  • Discover and fix programming bugs
  • Monitor and optimize search performance metrics
  • Create and maintain documentation for search systems

What We Offer

  • $125,000 - $175,000 per annum, depending on experience
  • Opportunity to work on challenging search problems at scale
  • Collaborative and innovative work environment
  • Professional development opportunities
  • Flexible work arrangements

Requirements

  • Bachelor's degree or equivalent experience in Computer Science, Information Science, or related field
  • 3+ years of experience developing search solutions
  • Strong proficiency in at least one programming language (Java, Python, or similar)
  • Hands-on experience with search engines (Elasticsearch, Solr, or similar)
  • Strong understanding of information retrieval concepts (TF-IDF, BM25, vector search)
  • Expertise in SQL databases and experience with NoSQL solutions
  • Experience with text processing, NLP, and relevance tuning
  • Strong analytical and problem-solving skills

Preferred Qualifications

  • Degree in Computer Science or related field
  • Knowledge of modern neural search techniques and vector embeddings
  • Familiarity with relevance evaluation metrics (NDCG, MRR, MAP)
  • Experience with large-scale distributed systems

Technical Skills

  • Search Engines: Elasticsearch, Solr, or similar
  • Programming Languages: Java, Python, Scala
  • Databases: SQL, MongoDB, or similar


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