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Open nowPosted 22 days ago

ICT Infrastructure Engineer (AI Infrastructure)

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 11,500 a month
Where
Central, Singapore
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Your applicationOpen nowICT Infrastructure Engineer (AI Infrastructure)MyCareersFuture · Central, Singapore

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  2. 3.3%3 days
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  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 22 days ago

The posting

Job Summary

As an ICT Infrastructure Engineer in Company’s Data Analytics & Engineering (DAE) Division, Production Engineering (PE) team, you will manage multiple priorities in a fast-paced environment while supporting stakeholder needs and responding to change. Specifically, you are expected to:

  • Partner with DAE Data Science and Product Management teams to productionise and host Data Science and AI products on PE-managed on-premises and cloud AI platforms.
  • Work with Technology Group divisions—including Platform Architecture and Engineering, Cybersecurity, and Data & Collaboration Platforms—to define requirements and integrate scalable, secure, and compliant AI platforms into Company’s enterprise environment.

Key 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.
  • Hands-on experience with Infrastructure-as-Code, automation and Python tech stack preferred.
  • Experience working with Identity & Access Management services (e.g. Entra ID, AWS Cognito and AWS IAM), and Monitoring & Observability services (e.g. CloudWatch, Splunk and Elastic) are advantageous.
  • Knowledge of PostgreSQL, vector databases, object storage, and the processing of structured and unstructured datasets is advantageous.
  • Good understanding of AI, application and infrastructure security risks and controls.
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