ICT Infrastructure Engineer (AI Platform) – Financial Regulatory Sector

DADACONSULTANTS PTE. LTD.; Singapore; Sur place; SGD 150 000 - 210 000; Plein temps

Résumé du poste

Dada Consultants Pte Ltd is recruiting for a senior role in Singapore's regulatory sector, focused on productionising AI and data science platforms. You will bridge data science, product management, and infrastructure teams to deploy enterprise-grade AI infrastructure at scale across on-premises and cloud environments.

You will own hosting setup, configuration, and testing of infrastructure, while driving secure, resilient platform operations and automation, including MLOps/LLMOps pipelines, to

Qualifications

• Hands-on experience building, securing, and operating enterprise Data Science and AI platforms on AWS or on-premises.
• Designing and operating DevSecOps, MLOps, and/or LLMOps pipelines in production settings.
• Proficiency with AI services, container tech, LLM inference, Linux administration; knowledge of IaC and Python.
• Familiarity with IAM and monitoring/observability tools is a bonus.

Responsabilités

• Lead the design, deployment, and configuration of scalable AI infrastructure with service providers and internal teams.
• Translate business and compliance requirements into robust platform designs that meet availability and resilience standards.
• Own onboarding of hosting environments from setup through commissioning of required infrastructure.
• Act as the primary contact for new AI product initiatives, supporting system design, integration, testing, and acceptance.
• Manage day-to-day AI platform operations, addressing queries from data scientists and product managers while maintaining service quality.
• Develop and improve operational runbooks, SOPs, and automation scripts to simplify platform management.
• Implement new platform features and reusable services, including MLOps/LLMOps pipelines.
• Collaborate with architecture, cybersecurity, and data platform teams to ensure alignment with standards and regulatory frameworks.

Connaissances

AI infrastructure

DevSecOps

MLOps

LLMOps pipelines

Python

Outils

AWS

Terraform

Kubernetes

CloudWatch

Splunk

Elastic

Entra ID

Description du poste

About the Role

Our client is a prominent statutory authority in Singapore's financial sector, operating at the intersection of regulation, technology, and data. This role sits within a Production Engineering team that is responsible for deploying and managing enterprise-grade AI and data science platforms across both on-premises and cloud environments. You will serve as the technical bridge between data science, product management, and infrastructure teams — ensuring that AI products are reliably productionised and hosted at scale. This is a high-impact position for someone who thrives in a structured yet innovative environment and wants to shape how AI infrastructure is built and governed within a mission-critical organisation.

Key Responsibilities

• Lead the design, deployment, and configuration of resilient, secure, and scalableAI infrastructurein partnership with service providers and internal technology teams
  
• Drive the translation of business and compliance requirements into robust platform infrastructure designs that meet availability, reliability, and resilience standards
  
• Own the end-to-end onboarding of hosting environments, covering setup, configuration, implementation, testing, and commissioning of required infrastructure
  
• Act as the primary point of contact for new AI product initiatives, supporting system design, integration, and acceptance and performance testing
  
• Manage day-to-dayAI platform operations, addressing queries from data scientists and product managers while maintaining service quality
  
• Develop and continuously improve operational runbooks, standard operating procedures, and automation scripts to simplify platform management and reduce manual effort
  
• Implement new platform features and enhancements to improve the overall AI development experience, including building reusable services andMLOps/LLMOps pipelines
  
• Collaborate with architecture, cybersecurity, and data platform teams to ensure all AI infrastructure aligns with enterprise architecture standards, security policies, and relevant regulatory frameworks
  

Requirements

• Hands-on experience building, securing, and operating enterpriseData Science and AI platformson AWS or in on-premises environments, with a strong understanding of AI, application, and infrastructure security risks and controls
  
• Demonstrated experience designing and operatingDevSecOps, MLOps, and/or LLMOps pipelines in production settings
  
• Proficiency with AI and container services, LLM inference, and Linux system administration; experience with Infrastructure-as-Code, automation tooling, and Python(is a bonus)
  
• Familiarity with Identity & Access Management services (e.g. Entra ID, AWS Cognito, AWS IAM) and Monitoring & Observability tools (e.g. CloudWatch, Splunk, Elastic)(is a bonus)
  
• Knowledge of PostgreSQL, vector databases, object storage, and processing of structured and unstructured datasets(is a bonus)
  
• Strong written and verbal communication skills, with the ability to influence stakeholders, assess compliance requirements, and develop practical, sustainable infrastructure solutions
  

Dada Consultants Pte Ltd

Website: www.dadaconsultants.com

EA License No.: 18S9037

Business Registration Number: 201735941W