Added
9 hours ago
Type
Full time
Salary
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Related skills

nlp python elasticsearch opensearch information retrieval

πŸ“‹ Description

  • Lead ML-driven search system design and development.
  • Build end-to-end retrieval pipelines with query understanding and ranking.
  • Architect scalable search infrastructure for dynamic data and real-time indexing.
  • Create and maintain graph-based knowledge systems for LLMs.
  • Drive improvements in query rewriting, intent classification, semantic search.
  • Collaborate with product/research to translate needs into search innovations.
  • Write clean, scalable code and influence architecture/roadmap.

🎯 Requirements

  • Bachelors/Masters/PhD in statistics, math, CS, or quantitative field.
  • 7+ years backend engineering; 3+ years in search/IR.
  • Proficient in Python.
  • Hands-on with OpenSearch or Elasticsearch.
  • IR concepts (TF-IDF, BM25) and neural search (embeddings, transformers).
  • Text processing, NLP, and relevance tuning.
  • Large-scale distributed systems experience.
  • Strong analytical and problem-solving skills.

🎁 Benefits

  • Flexible, trust-oriented culture.
  • Vibrant, dynamic work environment.
  • Multitude of benefits beyond salary.
  • Equity opportunities.
  • Remote-friendly culture.
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