AI Platform Infra Engineer – Production, MLOps & Security

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Dada Consultants Pte Ltd is seeking a Production Engineering professional to design, deploy, and manage enterprise AI infrastructure across on-premises and cloud environments in Singapore. You will bridge data science, product management, and infrastructure to productionise AI products at scale.

The role requires hands-on DevSecOps, MLOps/LLMOps experience, proficiency with AWS and Linux, and strong collaboration with security and data teams to meet regulatory standards.

Qualifications

• Hands-on experience building, securing, and operating enterprise Data Science and AI platforms on AWS or on-premises environments.
• Experience designing and operating DevSecOps, MLOps, and/or LLMOps pipelines in production settings.
• Proficiency with AI and container services, Linux system administration; experience with Infrastructure-as-Code, automation tooling, and Python a bonus.
• Familiarity with Identity & Access Management services and Monitoring/Observability tools (e.g., CloudWatch, Splunk, Elastic).
• Knowledge of PostgreSQL, vector databases, object storage, and processing of structured/unstructured data is a bonus.
• Strong written and verbal communication skills to influence stakeholders and translate requirements into practical infrastructure solutions.

Responsibilities

• Lead the design, deployment, and configuration of resilient, secure, and scalable AI infrastructure in partnership with service providers and internal technology teams.
• Translate business and compliance requirements into robust platform designs meeting availability and resilience standards.
• Own end-to-end onboarding of hosting environments, including setup, configuration, implementation, testing, and commissioning.
• Act as the primary contact for new AI product initiatives, supporting system design, integration, testing and performance validation.
• Manage day-to-day AI platform operations, addressing queries from data scientists and product managers while maintaining service quality.
• Develop and improve runbooks, SOPs, and automation scripts to simplify platform management and reduce manual effort.
• Implement new platform features and enhancements to improve AI development experience, including reusable services and MLOps/LLMOps pipelines.
• Collaborate with architecture, cybersecurity, and data platform teams to ensure alignment with enterprise standards, security policies, and regulatory frameworks.

Skills

DevSecOps

MLOps

LLMOps

AI infrastructure

AWS

Linux administration

Infrastructure as Code

Python

Security controls

Monitoring

Tools

CloudWatch

Splunk

Elastic

AWS Cognito

PostgreSQL

Job description

Dada Consultants Pte Ltd is seeking a Production Engineering professional to design, deploy, and manage enterprise AI infrastructure across on-premises and cloud environments in Singapore. You will bridge data science, product management, and infrastructure to productionise AI products at scale.

The role requires hands-on DevSecOps, MLOps/LLMOps experience, proficiency with AWS and Linux, and strong collaboration with security and data teams to meet regulatory standards.