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maintain web apps, data integration pipelines, CMS, and cloud environments Manage platform components: web servers, JS frameworks, container platforms, databases, cloud services, and AI integrations Lead
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modern cloud AI platforms including but not limited to Azure AI and Google Vertex AI. Duties and Responsibilities: Design, develop, and deploy intelligent applications using LLMs (e.g., GPT, PaLM, open
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are moving to a new cloud-based, scalable, and secure data ecosystem. We manage our enterprise data warehouse and have a group of data engineers and data architects who will be working in a new environment
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methods. SQL and NoSQL databases. Big data technologies (e.g. Apache Spark or similar). Cloud-based data platforms (e.g. AWS, Azure, GCP). Building and deploying data analytics or machine learning solutions
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: telecommunications, networking, cloud computing, visual computing or AI. A solid understanding of relevant smart technologies is essential, alongside excellent communication, writing and presentation skills. You
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Computer Science); advanced skills in general purpose or statistical programming languages like R and Python; experience with STATA; Experience with SQL and/or Google Cloud platforms for compute and storage; and
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Faculty Position, Department of Pharmacy and Pharmaceutical Sciences - Pharmacoeconomics / Health Ec
St. Jude Cloud and extensive repositories of patient-derived xenografts matched to primary patient samples and data. St. Jude is located in the heart of Memphis, Tennessee, a vibrant and friendly city
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experience in communications, marketing, or administrative management within a higher education or non?profit environment. Advanced proficiency with digital content tools, including Adobe Creative Cloud
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence
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: Statistical Models, Time Series, Big Data and Cloud Computing, Data Engineering, Leadership and Consulting for Data Science, Machine Learning and Artificial Intelligence, Human Computer Interaction, Quantum