https://bayt.page.link/5DX5Dvfq7R3bvUZF8
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الوصف الوظيفي

QUALIFICATIONSBachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experienceExperience with OpenSearch/Elastic Search, including knowledge of text analyzers, cluster management, Elasticsearch query DSL, aggregations, highlighting, percolation, and system scalingAbility to design indexing processes for large data volumesExperience in deploying web applications, ingestion and search pipelines, and microservices in production cloud environments within the software industryProficiency in programming with Java Spring Boot MicroservicesCapability to troubleshoot issues independentlyKnowledge of Python programming is advantageousUnderstanding of semantic search and vector databasesFamiliarity with Solr is beneficialAbility to translate business requirements into technical solutionsWHO YOU'LL WORK WITHYou will be part of McKinsey Technology and Digital group addresses the firm's internal software development needs. You will equip McKinsey’s business thought leaders with the tools and knowledge necessary for their global client engagements. Your development teams are small and flexible, utilizing agile methodologies to swiftly deliver the required solutions to your user community. You will be involved in integrating the latest open-source technologies with traditional Enterprise software products.WHAT YOU'LL DOAs a Search Engineer, you will be  responsible for designing, developing, and optimizing search functionality to enhance the relevance, efficiency, and scalability of search experiences. In this role, you will be working on search algorithms, indexing, ranking, and retrieval systems additionally leveraging Generative AI to deliver accurate and meaningful results for users.  As a Search System Development, you will design and implement search architectures, including indexing, ranking, and query parsing components. You will build and optimize search pipelines to support real-time and batch processing.As a Algorithm Optimization , you will develop and fine-tune search algorithms to improve relevance and accuracy. You will be involved in implementing machine learning models and natural language processing (NLP) techniques to enhance query understanding and result ranking.
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