Required Skills
Robust experience with Apache Solr or Elastic Search (schema design, edismax, fq/bq tuning)
Solid understanding of vector databases preferably Milvus, or alternatives like Pinecone, Weaviate, FAISS
Hands-on experience with embedding models (e.g., OpenAI embeddings, BERT variants)
Experience with normalization/ontology systems for skills and titles
Familiarity with information retrieval techniques, relevance tuning, and scoring strategies
Comfortable working with structured/unstructured data from resumes and job descriptions
Understanding of search evaluation metrics
Familiar with NLP libraries: spaCy, Hugging Face Transformers, or similar

Nice-to-Have Skills
Experience with Neo4j for knowledge graphs
Experience with ML model deployment or ranking models
Experience in building search analytics dashboards
Familiarity with Redis, MySQL, or Elasticsearch a plus

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Ai Search And Match Engineer Hyderabad
🏢 Advaitha Information Technology Services Private L
📍 Hyderabad