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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.
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The GCP Data Solution Architect (SA) - is a presales professional, responsible for solution development in support of Data Modernization and Artificial Intelligence engagements leveraging Google Cloud in collaboration with TEKsystems sales partners.
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As a Business Intelligence Manager, you will own the delivery of actionable insights to inform data-driven decisions on sales & marketing strategy, and increase efficiency of our go-to-market operations.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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Experience with or interest in digital forensics, investigations, or Open-Source Intelligence (OSINT) is a plus. This Data Scientist will be part of a multi-disciplinary team that works collaboratively within Legal and jointly with the Information Security, Business Units, and Corporate Services teams to conduct a wide range of business intelligence and investigation support functions.
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We're seeking a Business Intelligence Lead with a strong background in healthcare data operations and a passion for data quality and process improvement. The Business Intelligence Lead solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
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This position will be focused on the operational aspects of large-scale GPU-accelerated AI (Artificial Intelligence) and HPC (High Performance Computing) Cluster systems within AMD. The SRE will work closely with the CPE Platform Engineering (PE) and Data Center Operations (DCOps) teams as internal and external systems are brought up for customers.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. 5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Provides complete and consistent documentation of data warehouse content in the Caboodle Console to ensure that users can determine what data is available in the warehouse, how this data is defined, and lineage to Epic Clarity.
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We are: We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologiesspanning software, processors, storage, I/O, and networking solutionsthat fuel cloud, communications, enterprise, and government data centers around the world.
$186,552 - $279,772 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Plans, directs, supervises, and coordinates work of the Business Intelligence staff in the design, development, delivery, and execution of highly advanced software applications and data management systems leveraging platform-as-a-service technologies.
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Explore and identify Spice modeling components for efficiency and quality improvement with Artificial Intelligence (AI) and Machine Learning (ML). Requires three (3) years of experience in: (1) data analysis with Python and Python machine learning packages; (2) creating analytics tools to visualize KPIs in relation to equipment and process engineering; (3) MS Excel Macros and Pivot tables; (4) SQL, Tableau, and Spotfire; (5) knowledge of semiconductor process.
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Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc. Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
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data artificial intelligence plus jobs Company: Octo Consulting Group in Austin, TX
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