- Singapore Central Region (Singapore) Singapore
Full Time ICT Infrastructure Engineer - 1586 Jobs, Salary up to SGD 7,500 in JOBSTER PRIVATE LTD. Central Region (Singapore) - Maukerja
ICT Infrastructure Engineer - 1586
JOBSTER PRIVATE LTD.
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Job Description
Responsibilities
Deliver projects within the assigned practice to meet platform availability, reliability and resilience requirements.
Translate business requirements into platform infrastructure designs.
Work with service providers to design, deploy and configure resilient, available and secure AI infrastructure.
Ensure compliance with the Authority’s Enterprise Architecture and Security Standards, as well as IM8 and AI Policies.
Act as the point-of-contact for new AI product initiatives, supporting system design, integration, acceptance and performance testing.
Manage AI platform operations and address queries from Data Scientists and Product Managers.
Improve operational runbooks, SOPs and adhere to enterprise and compliance mandates.
Continually improve AI platform experience by implementing new features and enhancements.
Continually simplify product development and operations through automation and building reusable services.
Assist in AI Platform design review and improvement of AI, OS, container and database security standards.
Onboard hosting environments by designing, setting up, configuring, implementing, testing and commissioning the required infrastructure.
Manage system architecture, resource planning, platform performance, and hosting across servers, operating systems, and containers, excluding hypervisor and storage layers.
What we are looking for
Strong written and verbal communication skills, with the ability to pitch ideas, influence stakeholders and balance strategic perspective with business needs and challenges.
Ability to assess project and compliance requirements and develop practical, sustainable solutions.
Hands-on experience building, securing and operating enterprise Data Science and AI platforms on AWS or in on-premises environments.
Hands-on experience building and operating DevSecOps, MLOps, and/or LLMOps pipelines.
Hands-on experience with AI and container services, LLM inference and Linux preferred.
Translate business requirements into platform infrastructure designs.
Work with service providers to design, deploy and configure resilient, available and secure AI infrastructure.
Ensure compliance with the Authority’s Enterprise Architecture and Security Standards, as well as IM8 and AI Policies.
Act as the point-of-contact for new AI product initiatives, supporting system design, integration, acceptance and performance testing.
Manage AI platform operations and address queries from Data Scientists and Product Managers.
Improve operational runbooks, SOPs and adhere to enterprise and compliance mandates.
Continually improve AI platform experience by implementing new features and enhancements.
Continually simplify product development and operations through automation and building reusable services.
Assist in AI Platform design review and improvement of AI, OS, container and database security standards.
Onboard hosting environments by designing, setting up, configuring, implementing, testing and commissioning the required infrastructure.
Manage system architecture, resource planning, platform performance, and hosting across servers, operating systems, and containers, excluding hypervisor and storage layers.
What we are looking for
Strong written and verbal communication skills, with the ability to pitch ideas, influence stakeholders and balance strategic perspective with business needs and challenges.
Ability to assess project and compliance requirements and develop practical, sustainable solutions.
Hands-on experience building, securing and operating enterprise Data Science and AI platforms on AWS or in on-premises environments.
Hands-on experience building and operating DevSecOps, MLOps, and/or LLMOps pipelines.
Hands-on experience with AI and container services, LLM inference and Linux preferred.
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