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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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The ideal candidate will have a strong background in data engineering, experience with cloud platforms (such as AWS, Azure, or Google Cloud), and expertise in implementing and optimizing data pipelines using Databricks.
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Explored (in school courses or work internships) the technical aspects of: Cloud deployment in Amazon Web Services, Microsoft Azure or Google Cloud, Cloud architecture, network operations, database, programming, data analytics, enterprise IT, information systems.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently.
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Knowledge of datacloud platforms like Snowflake or Google Cloud Platform preferred. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management.
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Experience working with Google Cloud, AWS / AWS AI and ML, AWS Lambda, Amazon Lexbots, and Microsoft Azure. Build and configure demo scenarios in Genesys or NICE CXone Cloud Admin and Architect including ACD, IVR, outbound dialers, queuing, skilling, quality, ACD, Email, Web Messaging, and SMS and other digital channels.
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Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc. Quickly learning skills to adapt GCP cloud native SQL (Bigquery.
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We seek a highly experienced Delivery Lead with over 15 + years of expertise in leading Java full-stack development and cloud migration projects, particularly on the Google Cloud Platform (GCP.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Deploy and manage AI workloads on cloud platforms such as AWS, Azure, or Google Cloud, optimizing for performance and cost. Experience with cloud platforms (AWS, Azure, Google Cloud) and AI-related services.
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Help Development team in Developing data-driven solutions with Google Cloud technologies to meet evolving business needs. Summary: Datametic a, an Onix Company, is looking for Business Systems Analyst, for its Cloud and Big Data projects in the Data Warehousing, Data Analytics domain experienced in Data Warehousing, ETL, relational database concepts, BI, cloud based data domain projects.
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Strong proficiency with industry-specific systems and tools, including — but not limited to — Google Ads, WordPress, Salesforce, HubSpot, Sketch, Facebook Business Manager, LinkedIn Ads, Adobe Creative Cloud, Asana, Microsoft Office product suite, Spark Influence, etc.
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Minimum of 1 year experience with Google Cloud Platform BigQuery database. Experience with Google Cloud Data Fusion ETL tool preferred. Minimum of 1 year experience with Google Cloud Platform BigQuery database.
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Utilize your in-depth knowledge of mainframe technologies (IBM z/OS, COBOL, JCL, CICS, IMS, DB2) and modern cloud platforms (AWS, Azure, Google Cloud) to guide customers through their digital transformation journey.
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