AI Platform Engineer — Cloud & On-Prem Infra (Secured)

INNOVATIQ SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

INNOVATIQ SOLUTIONS PTE. LTD. is seeking an ICT Infrastructure Engineer to manage AI platforms across on-premises and cloud environments.

You will collaborate with DAE Data Science and Product Management to productionise AI products and ensure secure, scalable hosting. Responsibilities include translating requirements into infrastructure designs, deploying resilient AI infrastructure, and ensuring compliance with Enterprise Architecture and Security Standards.

Qualifications

• Excellent written and verbal communication for stakeholder collaboration.
• Ability to translate requirements into sustainable infrastructure designs.
• Hands-on experience building enterprise Data Science and AI platforms on AWS or on-premises.
• Experience with DevSecOps, MLOps and/or LLMOps pipelines.
• Familiarity with AI and container services, LLM inference, and Linux.
• Experience with Infrastructure-as-Code, automation and Python stack.

Responsibilities

• Deliver projects ensuring platform availability, reliability and resilience.
• Translate business requirements into platform infrastructure designs.
• Work with providers to deploy and configure secure AI infrastructure.
• Ensure compliance with Enterprise Architecture and security standards.
• Onboard hosting environments by designing, setting up, configuring and testing infrastructure.
• Manage system architecture, resources, performance and hosting across servers, OS and containers.

Skills

Communication skills

Stakeholder management

DevSecOps

MLOps

LLMOps

Linux

Infrastructure as Code

Tools

AWS

Kubernetes

Python

Terraform

Job description

INNOVATIQ SOLUTIONS PTE. LTD. is seeking an ICT Infrastructure Engineer to manage AI platforms across on-premises and cloud environments.

You will collaborate with DAE Data Science and Product Management to productionise AI products and ensure secure, scalable hosting. Responsibilities include translating requirements into infrastructure designs, deploying resilient AI infrastructure, and ensuring compliance with Enterprise Architecture and Security Standards.