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Data Processing: Strong understanding of data processing frameworks like Apache Spark, Apache Flink, Apache Beam, or Hadoop MapReduce. Cloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and their big data services (e.g., Amazon EMR, Azure HDInsight, Google Cloud Dataproc.
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Familiarity with Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools. Databricks experience is a big plus. 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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We're looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company.
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This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and image processing. Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Pig, Hive, Presto, HBase, etc.
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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) This individual in this role will play a critical role in developing and implementing Natural Language Processing (NLP) and web scraping solutions to support the broad protective mission.
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4+ years of experience with large data processing tools such as: Hadoop,HBase, Elastic Search, etc. As a Big Data Software Engineer, you will be an integral member of our threat intelligence service, i.e. auto focus, team responsible for architecture, design and development.
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Familiarity with cloud-based platforms (e.g. AWS, Azure) and big data processing tools (e.g. Apache Spark, Snowflake) In this role, you will play a critical role in developing and implementing Natural Language Processing (NLP) solutions that support virtual assistants, document understanding, personalized search & recommendation experiences, etc.
$82,000 - $236,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands-on Experience in Big Data tools, using Hadoop, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Plumes technology stack is among the deepest in silicon valley, covering embedded firmware, mass data pipeline and processing, big data analytics, SDN controller framework, customer API integrations, WebUI management interfaces and consumer facing mobile apps.
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Streaming Data: Knowledge of stream processing frameworks like Apache Kafka or Apache Pulsar is valuable for handling real-time data streams. Containerization and Orchestration: Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying and managing big data applications.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Big Data Offline Processing systems like Apache Spark, Pig, Hadoop or others. Technical leadership entails influencing search indexing, Search algorithms, recommendation algorithms, relevance & ranking, visual search, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, search UX, and overall Adobe Cloud ecosystem.
$118,500 - $219,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years experience in Hadoop, Cosmos, Spark or MPI with solving big data problems. Expert in Search Engine, Information Extraction, Knowledge Graph, Natural Language Processing, Computer Vision techniques.
$207,000 - $340,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are in search of a talented Senior Data Engineer, specializing in scalable data processing, working with big data sets from acquisition to transformation to serving.
$100,000 - $500,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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