134 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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): Experience with Infrastructure-as-Code (IaC) tools such as Terraform. Familiarity with container orchestration using Kubernetes. Prior experience working within higher education or ed-tech environments. How
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Payment Validate invoices/credit notes/receipts for accuracy, completeness, and correct GL coding, ensure supporting documents and approvals are in place. For Accounts Payable, ensure 3-way matching with
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degree in mechanical/aerospace/civil engineering with strong expertise in experimental and computational fluid dynamics. The candidate must have experiences in coding, designing and developing flow
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integration of AI capabilities into existing workflows and operational processes. 4. AI-Assisted Development and Reusable Utilities Use AI coding tools such as Claude Code, Cursor or GitHub Copilot
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Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. First-hand experience in neuro-symbolic methods. E.g. code generation
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to collect, translate and verify evaluation datasets. Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solutions
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-native solutions. Exploit AI-assisted coding tools, automated testing, and CI/CD pipelines in enterprise application development workflows. Institutional AI & Data Hub Adoption: Champion the adoption
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. Set delivery standards for code quality, testing, documentation, release readiness and post-launch sustainment. Support the use of AI coding tools to accelerate development while ensuring appropriate
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initiatives. Working closely with business stakeholders, their primary responsibility is to understand business needs, document, develop, tests and implement low-code solutions to automate business processes
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prototype deployment; assist with basic UX refinement based on clinician and end-user feedback. - Maintain high-quality documentation of datasets, code repositories, model versions, experimental protocols