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practices (Agile, DevOps/CI-CD, cloud-forward architectures), champions data governance and integration standards, and fosters a culture of service, learning, and inclusion. Responsibilities Provides vision
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to move key AI applications from Cloud datacenters to Edge devices. In addition to reducing demand for datacenters, Edge AI also has the potential to improve upon Cloud AI by reducing latency and
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and external stakeholders in support of the UChicago research ecosystem. The ideal candidate has a deep understanding of Oracle Cloud and research administration systems. The job leads cross functional
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and requirements in a hybrid and cloud-centric environment (e.g. AWS Bedrock, Azure Foundry, Copilot, Power Platform). An understanding of Cloud, Managed Service and integration architectures for AI and
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associated with the emerging wave of Internet-connected things that are based on the physical environment. https://coe.northeastern.edu/academics-experiential-learning/academic-departments/mgen
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of Fortinet security appliances (Fortigate) Desirable Application and interview Knowledge of cloud infrastructures (AWS, Azure, GCP etc) Desirable Application Further Information Grade 8 Salary £48,822-£58,225
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open to other languages). Strong background in API-first design, microservices, event-driven architecture, and cloud technologies. Familiarity with Workday, Ellucian Banner and Okta a plus. Proficiency
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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abundance of computation power residing in the network. The focus in our group is research, development and implementation of networking and edge/cloud computing solutions, primarily in the context of 5G and
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud