OpenSearch Consultant - May 2026

RemoteRemotedevia direct

// Job Type

Full Time

// Salary

Not disclosed

// Posted

3 weeks ago

// Work Mode

remote

About the Role

For one of our clients in the fashion industry, we are looking for a freelance OpenSearch Consultant – May 2026 Overview: <ul> <li>Creation of an in-house solution for on-site search along with a Merchandising UI.</li> <li>The project aims to replace the current keyword-driven external solution for on-site search with an AI-driven solution featuring semantic understanding and personalization capabilities.</li> <li>The services mentioned in point 3 will be delivered within the framework of the agile development method Scrum.</li> </ul> Background: The company is developing a next-generation, AI-driven on-site search and PLP-ranking capability. Several critical elements require specialized expertise in: <ul> <li>OpenSearch relevance engineering</li> <li>Multimodal product embeddings</li> <li>Semantic search optimization</li> <li>Personalization models</li> <li>LLM-based query processing</li> <li>Hybrid lexical/semantic retrieval</li> <li>Multilingual search infrastructure</li> </ul> This expertise is not available internally. The contractor therefore provides a unique contribution with responsibilities significantly different from internal staff. Tasks: <ul> <li>Technical consultation, configuration, and optimization of OpenSearch-based search relevance components, including analyzers, scoring parameters, hybrid retrieval structures, and vector-search integrations.</li> <li>Development and refinement of retrieval and ranking models, including multi-stage ranking approaches, learning-to-rank concepts, and integration of relevance, behavioral, and business signals into ranking pipelines.</li> <li>Creation of multilingual NLP components for various locales (LAM, EU, NAM), including tokenization, stemming, normalization, and locale-specific linguistic processing within OpenSearch and related pipelines.</li> <li>Design and implementation of query understanding mechanisms, including synonym and concept extraction based on catalog and interaction data, query intent interpretation methods, and term/concept expansion techniques.</li> <li>Development of LLM-enhanced search components, including prompt construction and incorporation of LLM-derived semantic signals into retrieval and ranking logic.</li> <li>Creation of personalization logic for search and PLP ranking, including re-ranking frameworks balancing user affinity, semantic relevance, and commercial parameters.</li> <li>Development and validation of autocomplete, spelling correction, and search suggestion components, ensuring robust multilingual handling and adherence to domain-specific terminology.</li> <li>Definition and refinement of commercial relevance models, including recency-weighted popularity signals, interaction-based relevance indicators, and business-driven ranking adjustments.</li> <li>Construction of evaluation and diagnostic frameworks for relevance quality using offline IR metrics and analytical assessment methods.</li> <li>Modeling and integration of real-time or near-real-time data signals (e.g., stock levels, size availability) into filtering, faceting, and ranking components.</li> <li>Technical implementation of data-science-driven backend logic for the Merchandising UI, including scoring routines, rule evaluation structures, configurable business logic, and interfaces for merchandising adjustments to search and ranking behavior</li> </ul> Location: 100% Remote Start: 11.05.2026 Duration: till 31/12/2026 Capacity: ~36 hours per week

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