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managing the associated procurement activities for their cloud- or HPC-based implementation; supporting the operational Copernicus Sentinels missions and DestinE data management activities; supporting
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Centre for Sustainable and Digital Agriculture (NCSDA) at the University of Saskatchewan. This role ensures that the NCSDA’s computing, cloud, and data environments, including web-based dashboards and
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and apply Physics-Informed / Physics-Guided Machine Learning approaches Design and develop cloud-based microservices for industrial manufacturing applications What you contribute You are studying
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administration, maintenance, upgrades, and operation of existing and recently developed systems including Virtualization infrastructure (on-premises and cloud), Microsoft Windows System administration, and Linux
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objectives into robust pipelines, automate job orchestration and data movement, and optimize end-to-end workflow performance on large-scale Linux-based HPC environments and hybrid cloud/HPC platforms. Job
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of containerization and orchestration technologies (e.g., Docker, Kubernetes). Solid grasp of DevOps/MLOps principles and tools (e.g., Git, Jenkins, Terraform). Comprehensive knowledge of major cloud provider AI/ML
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, Kubernetes, Helm). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. A systematic approach to development and engineering, including debugging, DevOps/MLOps practices, and agile
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degree preferred. Experience with cloud based appointment tracking platforms. Pay Rate: $47/hour @ approximately 10.5 hours/week This is a temporary position with an expected duration of 2-4 months
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 12 days ago
of the credit union's enterprise systems; to ensure that all core infrastructure including servers, networks, cloud services, applications, and security platforms operate efficiently, securely, and in alignment
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designs and maintains cloud-based ML/AI operations on UNSW’s enterprise data platform. This role operationalises applications by establishing robust MLOps processes and automated pipelines for data