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Knowledge of search technology (Elastic Search, Solr, Lucene) Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Experience with search systems such as SOLR/Elastic Search. Strong Elastic Search or SOLR experience. Experience with machine learning and data science. This role acts as a technical leader and coordinator for online search including web, native apps, and other internal consumers.
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Familiarity with Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools. Collaborate closely with product teams, data engineers and other teams internal and external teams to translate business requirements into robust technical solutions.
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Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Familiarity with Apache Kafka, Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools. At adMarketplace, our mission is to deliver the most engaging consumer search experiences while empowering advertisers to measure media performance accurately.
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You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. We're looking for a Senior Software Engineer to join the Elasticsearch - Search Foundations team.
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Experience with search architecture tools (ex - Solr, ElasticSearch) Our work depends on Software Engineer Senior joining our team to develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning and use the right combination of tools and frameworks to turn a set of data points into objective answers to help senior leadership make informed decisions.
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Job Description Enlighten is looking for a Software Engineer to design, develop and implement complicated and difficult software capabilities for computer based systems. Experience with configuration management tools (e.g. Git, Nexus, Maven.
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This is a principal software engineering role that covers leading significant initiatives in the core search areas of Elasticsearch, the design and implementation of new features, enhancements to existing features, and resolving bugs.
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Retains critical IP around search and understands full picture of the search landscape, which is a key component to online capabilities. Will be responsible for interactions with search consumers, Empathy teams supporting/enhancing search, 84.51 tuning search, and monetization.
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We're seeking a highly skilled Senior Software Engineer to join our Digital Insights Search Engineering team, driving the development and maintenance of Moodys.com’s next-gen search/prompt platform, including RAG (retrieval augmented generation) capabilities.
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Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc. We invite you to join the team as a Big Data Developer/Engineer.
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Shopify is seeking an experienced Principal Machine Learning Engineer to lead the development and optimization of our search capabilities organization-wide. Proven experience as a Machine Learning Engineer specializing in search applications, with expertise in developing and deploying machine learning models for search optimization.
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Observed and identified service pain points, priorities, requirements, and success criteriaExposure to a variety of data stores and search technologies (e.g. MySQL, RDS, MongoDB,DynamoDB, Redis, Open Search, Elasticsearch, Neo4j.
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Experience with search engine platforms like Apache SOLR, Elastic Search or OpenSearch would be a big plus. The Workplace Investing AI Delivery Engineering Chapter team is seeking a Machine Learning / Gen AI engineer to design, implement and improve technical solutions for Gen AI solutions including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development.
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