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and AI frameworks (e.g., Python, TensorFlow, PyTorch); (e) practical knowledge and skills in Linux and Windows Server management, including Virtual Machine (VM) and Docker container architectures; (f
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; (b) have good knowledge of Microsoft 365, Windows, MacOS, iOS, Android, Linux and Windows Server; (c) have good knowledge of HTML, PHP, CSS, JavaScript, OBS and vMix; (d) have good knowledge
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support and troubleshooting for a sizeable organisation; (b) good knowledge of Windows, Windows Server, MacOS, Linux and VMware; (c) basic knowledge of cloud computing and related techniques; (d
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, conduct experiment, and deploy Large Language Models on high-performance cloud Linux servers; and (f) assist in summarising and writing up research findings. Qualifications Applicants should: (a
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), as well as their well-suited hardware products; (g) have knowledge of Windows OS, IIS, Office 365, MacOS and Linux; (h) have knowledge of application development tools built with AI agents
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/evaluation pipeline; (d) be proficient in Linux system administration and basic maintenance of GPU servers; (e) have knowledge of the Kubernetes operation framework and the principles of GPU workload
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/relevant work experience. (b) have basic knowledge of software, networking and Windows / Linux OS; (c) have knowledge in Python / PHP / C++ / C# / JavaScript / RDBMS / large language models for AI