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nlp python elasticsearch opensearch information retrieval📋 Description
- Lead design and optimization of intelligent search systems using ML.
- Build end-to-end retrieval pipelines with query understanding and ranking.
- Develop learning-to-rank models using embeddings and feedback.
- Architect next-gen search infrastructure for dynamic corpora and real-time indexing.
- Create robust Entity Recognition that enhances retrieval.
- Collaborate with product and applied research teams to drive search innovations.
🎯 Requirements
- Bachelor's/Master's/PhD in Statistics, Mathematics, Computer Science, or another quantitative field.
- 7+ years backend engineering with 3+ years in search or information retrieval.
- Strong proficiency in Python.
- Hands-on experience with OpenSearch or Elasticsearch.
- Deep knowledge of information retrieval concepts (TF-IDF, BM25) and neural search techniques (embeddings, transformers).
- Experience with NLP and relevance tuning.
🎁 Benefits
- Flexible, trust-oriented culture that empowers ownership.
- Vibrant, dynamic work environment with comprehensive benefits.
- Recognized as a top company for remote work.
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