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Demonstrated capability utilizing one or more cloud platforms (e.g., Azure, AWS, GCP). 4+ years of experience with Microsoft SQL Server, including SSIS, SSRS, and SSAS or with Azure data tools such as Azure Data Factory, Azure Databricks, and Azure SQL Database.
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3 years of Kubernetes experience as it relates to maintaining clusters and deploying applications hosted on Kubernetes clusters Desirable Knowledge, Skills, and Abilities Experience in multiple public cloud providers (e.g. AWS, Azure, GCP.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Data Engineer, Technology Consulting, Financial Services Office (Manager) (Multiple Positions), Ernst & Young LLP, Tampa, FL. Collaborate to deliver solutions utilizing leading big data platforms and cloud technologies (, Azure, Databricks, GCP, Cloudera, etc.
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Desired Qualifications in place of CCNA: JNCIS-SEC, PCNSA, GIAC, GCP. Proficiency with network drawing and productivity tools (Visio, Lucid, AutoCAD, etc.) GovCIO is currently hiring a Mid Cyber Security Engineer to provide operation and integration support for a multi-vendor infrastructure, including various networks, systems, and virtual training environment (VTE) vendors.
$105,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is a plus. As a Product Developer, you will play a crucial role in designing, developing, and implementing innovative products and solutions that leverage React JS, NodeJS, Python programming, machine learning techniques, and NVIDIA products.
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Strong skills in PySpark and Multi cloud services (AWS, Azure, GCP) Good to have knowledge of Databricks Lakehouse, Delta Lake, Delta live Tables (DLT) Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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Recommended Experience Database design and implementation using cloud-based technologies (AWS, GCP, Azure) and respective database services. Clearance Active TS/SCI Security Clearance Required Essential Duties and Responsibilities The Database Engineer will provide onsite support at HQ USSOCOM to maintain and sustain all instances of the DefenseReady Enterprise Server Application and NIPR to SIPR one way guard.
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Non-sterile and sterile compounding of both non-hazardous and hazardous medications: Prepares parenteral dosage forms utilizing aseptic techniques in accordance with departmental policies, standards set forth in current USP, state & federal regulations and GCP guidelines for investigational medications.
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Wireless and Access Point products such as Meraki, Aruba, Arista, CiscoCloud Platform connectivity: AWS, Azure, Google GCP. Wireless and Access Point products such as Meraki, Aruba, Arista, CiscoCloud Platform connectivity: AWS, Azure, Google GCP.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies. Expertise in machine learning libraries and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, Llama Index.
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Proven experience as a Security Cloud Engineer, with solid expertise in Azure, AWS, GCP, M365 and app security infrastructure. Implement and maintain security policies and controls for cloud environments, with a focus on Azure, AWS, GCP, and M365 platforms.
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Experience with cloud platforms such as AWS, GCP, or Azure. Hands on experience with one or more of the following technologies (Elasticsearch, Kafka, Apache Spark, Logstash, Hadoop/hive, Tensorflow, Kibana, Athena/Presto/BigTable, Angular, React.
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5+ years ML coding experience (statistical learning, deep learning, Tensorflow/Keras, GCP/AWS) 5+ years ML coding experience (statistical learning, deep learning, Tensorflow/Keras, GCP/AWS) The Intelligent Assistance Solutions Team seeks a Machine Learning (ML) Products Lead who will be dedicated to leveraging data, machine/deep learning, and recent advances in NLP and Generative AI to create breakthrough solutions that change patients lives.
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Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.
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Work with NVIDIA products, including GPUs, CUDA, and other related technologies, to optimize performance and scalability of our solutions. Stay up-to-date with the latest developments and trends in Python, machine learning, and NVIDIA technologies.
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