Data Scientists (Search Modernization)

As an AI Engineer at our company, you will be responsible for modernizing and enhancing the existing regex/keyword-based ElasticSearch system. Your primary focus will be on integrating state-of-the-art semantic search, dense retrieval, and LLM-powered ranking techniques to transform traditional search into an intelligent, context-aware, personalized, and high-precision search experience. Key Responsibilities: - Drive the transformation of the existing ElasticSearch system - Integrate state-of-the-art semantic search techniques - Implement dense retrieval and LLM-powered ranking - Ensure the search experience is intelligent, context-aware, and personalized - Collaborate with the team to enhance the precision of the search results Qualifications Required: - Hands-on experience with ElasticSearch internals - Proficiency in information retrieval (IR) - Knowledge of embedding-based search methodologies - Familiarity with BM25 and re-ranking techniques - Experience with LLM-based retrieval pipelines - Competence in AWS cloud deployment (Note: No additional details of the company were included in the provided job description.) As an AI Engineer at our company, you will be responsible for modernizing and enhancing the existing regex/keyword-based ElasticSearch system. Your primary focus will be on integrating state-of-the-art semantic search, dense retrieval, and LLM-powered ranking techniques to transform traditional search into an intelligent, context-aware, personalized, and high-precision search experience. Key Responsibilities: - Drive the transformation of the existing ElasticSearch system - Integrate state-of-the-art semantic search techniques - Implement dense retrieval and LLM-powered ranking - Ensure the search experience is intelligent, context-aware, and personalized - Collaborate with the team to enhance the precision of the search results Qualifications Required: - Hands-on experience with ElasticSearch internals - Proficiency in information retrieval (IR) - Knowledge of embedding-based search methodologies - Familiarity with BM25 and re-ranking techniques - Experience with LLM-based retrieval pipelines - Competence in AWS cloud deployment (Note: No additional details of the company were included in the provided job description.)