AI Platform Infra Engineer – Production, MLOps & Scale

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

Dada Consultants Pte Ltd is recruiting for a senior AI infrastructure role in Singapore. You will deploy and manage enterprise-grade AI and data science platforms across on-premises and cloud environments, acting as the bridge between data science, product management, and infrastructure teams.

You will lead secure, scalable AI infrastructure projects, drive platform design aligned with regulatory standards, and own end-to-end hosting/onboarding.

Qualifications

• Hands-on experience building AI platforms on AWS or on-prem
• Experience designing/operating DevSecOps, MLOps or LLMOps pipelines
• Proficiency with AI services, container tech, Linux, and Python is a plus
• Knowledge of IAM and monitoring/observability basics is a bonus
• Strong written and verbal communication to influence stakeholders

Responsibilities

• Lead design, deployment, and configuration of scalable AI infrastructure
• Translate business/compliance requirements into robust platform designs
• Own onboarding of hosting environments from setup to commissioning
• Act as primary contact for new AI product initiatives and testing
• Manage day-to-day AI platform operations and service quality
• Develop runbooks, SOPs, and automation to simplify management
• Implement new features and ML/LLM pipelines to improve development experience
• Collaborate with architecture, cybersecurity, and data teams to ensure standards

Skills

AI platform operations

DevSecOps

MLOps/LLMOps pipelines

Python

Cloud and on-prem deployment

Security risk awareness

Tools

Infrastructure-as-Code

Automation tooling

Monitoring tools

Job description

Dada Consultants Pte Ltd is recruiting for a senior AI infrastructure role in Singapore. You will deploy and manage enterprise-grade AI and data science platforms across on-premises and cloud environments, acting as the bridge between data science, product management, and infrastructure teams.

You will lead secure, scalable AI infrastructure projects, drive platform design aligned with regulatory standards, and own end-to-end hosting/onboarding.