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Apache Spark : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Spark, Hadoop). More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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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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Our cloud infrastructure is home to a series of massive and complicated distributed systems and virtualization software platforms which enable big data processing around security services, sandboxing and malware detection, URL categorization and malicious site/domain identification, and security research/response.
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Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yoursThe Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Proficient with querying and manipulating big datasets on AWS Athena, BigQuery, and MySQL. Hands on experience with ETL automation. Professional experience with SQL and data visualization tools (Tableau, Power BI, etc.
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Students in Computer Engineering degree programs learn through our hands-on and practice-oriented curricula to prepare for professional careers in artificial intelligence, data science, embedded system, cyber security, big data, cloud technologies, virtualization, networking systems, system level design and verification, and emerging areas in computer and software engineering fields.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience with machine learning, predictive analytics, and statistical modeling with big data platforms is a plus. Proficiency in programming languages such as Python, R, MATLAB, or JMP to analyze large data sets.
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Big Data applications, DBs and BI tools such as: AWS Athena, BigQuery, Snowflake. We are innovative professionals who are passionate about Big Data and the Automotive domain.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus. Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures a plus.
$45 - $50 an hourRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 10 years of experience in Data Science, with substantial experience in AI/ML engineering.
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As a member of the Knowledge Services team, you will join us in creating high-impact internal services focused on delivering operational insights and alerts to data engineering teams working on some of Apple’s most important Big Data datasets (App Store, Apple Music, TV+, Podcasts, Arcade, and others.
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The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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