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Job Description Job Alerts Link Apply now Cloud Infrastructure Engineer (Research Assistant/CBDS/MG) University-Level Unit: Duke-NUS Medical School Faculty/Department-Level Unit: Office of Research
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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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for all related changes. Application Development: Develop new technical applications and maintain existing ones. Cloud Infrastructure Setup: Set up open-source cloud infrastructure using tools such as
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research, education, and services in data science, AI, and biomedical computation. We invite applications for a Research Asisstant (Cloud Infrastructure Engineer) role in CBDS. The successful candidate will
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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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our AI agents and data-driven workflows — from API integration to cloud architecture and data lake management. We’re building our Enterprise Intelligence Hub and creating AI agents that automate
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, and a constructive team-oriented mindset Excellent written and verbal communication skills in English Preferred Familiarity with cloud-based integrated development environments (IDEs) as well as APIs
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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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landscape. Develop Apex Classes, Lightning Web Components, Flow, OmniScript and Experience Cloud Site in Salesforce CRM. Develop Journey, Automation Job and Content Template and Cloud Pages in Marketing Cloud
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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