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The tasks will include automation of variated development processes: supporting data collection from test fleet, automation of Labelling, SIL and HIL processes, integration of different Project Management tools (e.g. Jira, CodeBeamer), linking automated tests to PM tools, implementing build and test servers for multiple platforms, work on deployment infrastructure.
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On the Aurora Data Science team, you will join a world-class group whose mission is generating insights and intelligence to improve the Aurora Driver and help accelerate our path towards safe and broad commercialization of Autonomous Vehicle technology.
$302,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Join our growing and well-funded company for an amazing career opportunity in chemical metrology, where data-driven solutions are transforming the industry.
$220,000 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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Familiarity with BMIDE (Business Modeler Integrated Development Environment) and its utilization for configuring and customizing Teamcenter data models, data types, and data structures.
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Specific functional areas of responsibility and proficiency include: security alarm monitoring principles, dispatching and coordinating allocation of resources, stakeholder (customers and operational partners) involvement, data-driven (metrics) reporting, team and task-specific performance assessment, travel safety and security and critical incident response management.
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Role: Data Scientist. 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
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Manage and optimize our data analytics infrastructure (Databricks and Snowflake), including monitoring, troubleshooting, and maintaining high availability. Manage and optimize our data analytics infrastructure (Databricks and Snowflake), including monitoring, troubleshooting, and maintaining high availability.
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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
$8,554 a monthPart-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, The successful candidate for this role will work with a team of other electrical and mechanical-focused engineers performing maintenance and repair for our data center infrastructure.
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Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
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Expertise in data analysis/profiling, advanced SQL, Python, SAP ERP, BPC Planning and Data Warehousing concepts. Work closely with FP&A product owner to understand operating expense, capital, headcount and purchase order data needs and prototype solutions for rapid feedback.
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Experience with VNA and ENA, logic analyzer, signal analyzer, battery simulator, data acquisition device (DAQ). Knowledge of C#, Python, and LabView for data processing and automation. Experience with VNA and ENA, logic analyzer, signal analyzer, battery simulator, data acquisition device (DAQ.
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Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. The selected candidates should understand and be proficient in the development of mechanical solutions at the silicon, package, and system-level for semi-conductor products; data analysis and characterization, optimization of packaging for increased quality and cost improvement of high-end semiconductor products such as microprocessors.
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We're looking for people who love taking ownership of data products and will enjoy bringing an important ML project all the way from fast prototype to production. Our data science stack includes AWS EMR, Apache Spark (core, mllib, and streaming), Elasticsearch and raw Lucene, scikit-learn, and more.
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data job Title: data project Company: Crowdstrike in Santa Clara, CA
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