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Knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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AWS, Google Cloud, or Azure (cloud platforms for scalable computing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) (for analyzing clinical notes or electronic health records.
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Proficiency in Google Cloud Platform (GCP) services like Google Cloud Storage, Google Cloud Fusion, Google BigQuery, and Google Analytics. Experience working with large datasets, ideally within real-time streaming, lead generation, AdTech, cloud computing, or SaaS.
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Experience with cloud security, particularly in environments like AWS, Azure, or Google Cloud. Comprehensive knowledge of malware analysis, threat modeling, and vulnerability management.
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Preferred Experience in Architecting and Designing solutions leveraging Google Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable and Tensorflow.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Certification Preference : AWS Certified Solutions Architect, Google Certified Cloud Professional Cloud Architect, Azure Solutions Architect Expert. Relevant certifications include AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert.
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Adventist Health Rideout is seeking an ambulatory Family Medicine physician dedicated to providing state-of-the-art, high quality medical care for the entire family just outside of Sacramento, CA. This is a unique opportunity to work with trained staff that is committed to assisting patients with kindness, diligence, and sensitivity.
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If you're seeking a career in IAM, cloud systems, or identity governance then Cyber Identity is for you. Cyber Identity also focuses on the integrations of cutting-edge technologies and cloud providers.
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Configure and manage infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Deployment Manager. 4+ years of experience in integrating Kubernetes with CI/CD pipelines (Azure DevOps preferred.
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Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel.
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Serving federal, state, & local government clients as well as public higher education institutions, our team of more than 15,000 professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
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Experience with natural language processing (NLP) and deep learning frameworks TensorFlow, PyTorch). Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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