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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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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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integrity, efficiency, and scalability. Partner with researchers and vendors to design and deliver automated and cloud-based tools that improve research efficiency and usability. Ensure compliance with data
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of our intelligent operations. As an AI & Systems Engineer, you’ll design and scale the systems that power our AI agents and data-driven workflows — from API integration to cloud architecture and data lake
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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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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
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 17 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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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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databases, cloud deployment (AWS/Azure/GCP), Docker) are also very welcome. You will need to be highly flexible and responsive to emerging opportunities with partners from industry. The candidate should be
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such as R/Python/Java or similar languages, and familiarity with Unix-based platforms is advantageous Experience working in cloud environments (e.g., AWS) is beneficial High motivation and willingness