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Job Req ID: 23250 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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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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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Proficiency in data analytics tools and packages such as JMP, Tableau, Minitab required. KNOWLEDGE: An experienced professional with an understanding of data analysis, quality control and MEMs/Semiconductor processing.
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Ranked as the fifth most popular place to live in America, it’s no wonder that traveling health care professionals enjoy packing their bags for San Jose. Once a sleepy orchard town, the prosperity of Silicon Valley has transformed this area into a thriving city of fine restaurants, great shopping, world-class arts and culture, a state-of-the-art light-rail system and plenty of big-city excitement.
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Experience with ServiceNow ITSM, ITOM, CMDB, and Discovery modules, Mid server configurations, as well as platform capabilities including workflows, business rules, client scripts, script includes, UI policies, and data imports.
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Experience in Migrating data from existing warehouses from Oracle, Sql Server to snowflake Data Cloud. Experience in Snowflake data warehouse management using various services and utilities like (snow-pipe, stream, cloning, data sharing, warehouse resizing.
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Advanced proficiency in Tableau, Excel and experience with financial systems and data visualization tools (e.g. SFDC, SAP BPC, Tableau, Einstein Analytics) Collaborate cross-functionally (e.g. Theater finance, India COE team, IT, Customer Success, Sales Ops, etc) to continually improve metrics alignment, consistency, data integrity, and automation.
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Keywords: Consultant, Cyber Risk Advisory, Cyber Risk, Solutions Architect, Solution Architect, Professional Services Engineer, Solutions Engineer, Post Sales Engineer, Customer Success Engineer, Customer Success Architect, Cyber Security, Cyber Risk Management, Threat Intelligence, Cloud Security, External Attack Surface Management, Data security, Identity Security, DevSecOps, KPMG, EY, Ernst & Young, Deloitte, PwC.
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Experience with big data processing frameworks and tools such as Apache Spark, Hadoop, or AWS Glue. - Proven work experience as a Data Engineer, with a focus on building scalable and robust data pipelines and architecture.
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Develop accurate behavioral and electrical models for mixed-signal circuits, including SerDes, PLLs, memory interfaces and data converters Verify the performance and accuracy of the developed models against circuit-level simulations and measurements.
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NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms.
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We are seeking a seasoned technical leader in optical transceiver or engine design to help define architecture and drive development of our most advanced optical interconnect products to transform data center connectivity and XPU I/O. These products target ultra-high bandwidth density and low power and require key innovation in architecture, photonic IC, electrical IC, engine packaging, test, and manufacturing.
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The Data and Machine Learning Innovation (DMLI) team is looking for a passionate Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.
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Comprehensive understanding of machine learning, computer networking fundamentals, DevOps practices, and experience with data pipelines using messaging bus platforms. As a Senior Software Engineer, encompassing roles such as Infrastructure Engineering, AIOps engineering, DevOps Engineering, Network Engineering, and Automation Engineering, you'll spearhead automation efforts, collaborate with infrastructure, ML experts, and shape the future of IT operations with AI, generative AI, and machine learning.
$160,000 - $304,750 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
big data jobs Title: devops engineer in Cupertino, CA
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