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Deep understanding of best practices and current trends in cloud providers, are comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing; experience in understanding Apache Spark or Databricks is a plus.
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The TV Plus Data and Analytics (DAI) team supports various functions across the wider TV Plus team, such as: Product, UX Design, Business Development, Content, Marketing, and Monetization.
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Experience with extracting data from storage systems (e.g. Hive, Cassandra, S3, Swiftstack) and understanding of how big data processing systems (e.g. Spark or Map/Reduce) work and help scale the processes.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Job Req ID: 24833 About Supermicro: 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 engage with tier one customers with big size CSP deployment is a plus. Represent Supermicro and lead the promotion inquiries of Data Center Solutions to win CSP, NCP, cloud businesses.
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Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience or knowledge in LLM and hands on fine tune experience is a big plus. Experience with deep learning frameworks such as PyTorch and TensorFlow, and experience in CV, NLP, or related areas is a plus.
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Experience with semiconductor chip products and wafer samples is a plus. Operating TEM tools to obtain TEM/STEM images, SAED, EDS and EELS data from samples. Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life.
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The GBI Big Data Engineering team is responsible for building and managing data platforms at scale on Cloud, that help Apple process, store and access petabytes of data. Were looking for a Big Data Engineer with strong understanding of big data and ML platforms, passionate about building and managing cloud infrastructure and can demonstrate to Apples high standards.
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As a Linux System Administrator in Apple's Fleet Operations and Engineering team, your key responsibilities will include:Manage and maintain Apple’s big fleet of data systems running on Linux.
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Experience with big data technologies like Azure and Data Bricks is a plus. 7+ years’ experience with strong SAP S4/HANA, HANA Modeling, SQL Skills, and big data with enterprise data warehousing experience.
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Ability to design, develop, and migrate data analytics solutions by sourcing data from SAP ECC, S/4 HANA, and SAP Data archival systems. Ability to design, develop, and test ETL solutions, including modeling data warehouse metadata and automating data loading processes.
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Experience with one of the following is a big plus: generative modeling, optical flow, perceptual quality, ML for video or data compression. Excellent software skills in common ML tools such as Python, PyTorch or TensorFlow; experience implementing custom ops in CUDA is a plus.
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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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