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Experience with complex search and data ingestion pipelines with specific knowledge of Apache Solr and Streaming Technologies. You have experience specifically related to big data platforms.
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Deep familiarity with one or more of the following areas at scale: Lucene-based search systems (ElasticSearch or Solr), search ranking and retrieval, data science, or information taxonomy.
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Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. You will build zero-to-one machine learning capabilities, including learning-to-rank models for search result optimization, query and content understanding, personalization and machine learning based retrieval.
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Nice to Have Skills:Experience with Lucene based open-source search tools like Solr or ElasticSearchExperience with backend javascript/typescript technologies (Node.js, Express. -Knowledge of big data, batch/streaming analytic methodologies, and MapReduce or Portable MapReduce frameworks.
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Familiar with open source or commercial search technology such as Lucene, Solr, ElasticSearch, or Attivio. Deep and broad working knowledge of various search technologies including Lucene, Solr, Elastic, Attivio, text vectorization, and NLP/NLU.
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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. Role: Big Data Engineer.
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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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The Sponsor requires project management and technical support to manage projects and to perform software development activities within budget in the areas of enabling search against structured and unstructured data sets, coordinating and collaborating on documents across the organization, leveraging machine language to discover content that would otherwise be missed via Boolean, and incorporating artificial intelligence to do predictive analysis and make recommendations based on historical data.
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Enterprise search expertise utilizing Apache Solr. ESHRS has established core values where quality is paramount, automation and standardization is appropriately leveraged, learning and collaboration are second nature, working solutions define success and data-driven approaches inform development.
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Experience with search architecture tools (ex - Solr, ElasticSearch) Data Science frameworks such as Keras, Tensorflow, or Theano. 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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Experience with search engines, such as Solr and Elasticsearch. Experience with data integration platforms, such as MuleSoft. Participate in coding, designing, and data modeling related to solutions being developed.
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Experience with API-services, COTS integration, Big Data and search technologies (Hadoop, Spark, Solr, Zookeeper, ElasticSearch, etc.) 3+ years of experience in system administration/engineering and applications monitoring/support in Cloud-based environments and services - BigData (Hadoop, Spark, Solr, Zookeeper, ElasticSearch are some.
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Experience creating and using machine learning algorithms and data structures. Your primary responsibility will be to develop groundbreaking machine learning applications, steering them from conceptualization to production within Reverb Search and Recommendations.
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Torin is looking for a qualified Data Scientist 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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Must have technologies: Java, Mongo DB, Elastic Search, Solr, Content/Document Management. The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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