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School of Art, Design and Media - College of Computing and Data Science Nanyang Technological University, Singapore Part-Time Lecturer for AP6412 Foundation for Technology and Coding The School
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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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OpenStack, VCenter, ESXi, or VirtualBox. Infrastructure as Code (IaC): Deploy infrastructure as code using Vagrant and Terraform. Environment Provisioning: Provision environments using Ansible, Chef, Puppet
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for Southeast Asia languages and code-mixed text. Requirements: Possess a PhD in Computational Linguistics, Computer Science, or have equivalent practical experience. 5 to 7 years of related experience
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-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular
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maintenance, design, or installation of mechanical building services. Good knowledge of ACMV systems, including installation, operation and maintenance. Familiar with local codes of practice and tender
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. The ideal candidate will act as a bridge between business needs and technology solutions, leveraging low-code or no-code platforms to develop solutions that enhance operational efficiency and advance SAO’s
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research or technical experience Familiarity with required scope (e.g. national codes and standards) Competence in computation and coding Good written and verbal communication skills Ability to work both
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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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Science, Software Engineering, Artificial Intelligence, or a related discipline. Strong research track record in software engineering, AI for code, or software security (e.g., publications in reputable international