27 cloud-"https:"-"https:"-"https:"-"St" positions at Nanyang Technological University
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dynamic workloads, while bridging theoretical research with practical implementation through close collaboration with cross-functional teams. Job Description: Conduct cutting-edge research in cloud
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interfaces and dashboards within cloud computing environments. To develop and deploy AI-driven modules across cloud and on-premises environments, supporting end-to-end integration, testing, and delivery
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systems. Lead end-to-end delivery of cloud-native, high-availability applications from architecture to production, to guide engineering teams while aligning technology execution with business and research
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Familiarity with ESG (Environmental, Social and Governance) regulations and standards Good written and oral communication skills Proficiency in Python and cloud computing Team player and able to develop
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that is clean, modular, and maintainable. MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience building data and model pipelines
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. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable. MLOps & Cloud
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eye for detail Digital literacy in Microsoft Office and general cloud software These competencies are not compulsory, but any would be advantageous: Domain experience in education / graduate studies B2G
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, and maintainable. MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience building data and model pipelines on at least one major
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, and maintainable. MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience building data and model pipelines on at least one major
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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