Senior AI Infrastructure Engineer, MLOps Lead

A*STAR - Agency for Science, Technology and Research

Singapore

On-site

SGD 140,000 - 210,000

Full time

14 days+

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Job summary

A*STAR invites an experienced AI Engineer to lead design, implementation, and scaling of AI infrastructure in Singapore. You will bridge data science and software engineering by building robust pipelines and lifecycle management for models in production.

You will design reusable AI systems, own core components, and collaborate with safety teams to ensure secure, reliable, and scalable solutions across diverse domains from manufacturing to healthcare.

Qualifications

  • 6+ years in Software Engineering, Platform Engineering, or DevOps with at least 3+ years dedicated to MLOps, AI Infrastructure, or ML Engineering in production.
  • Architected and maintained end-to-end ML platforms and centralized infrastructure beyond single-model deployments.
  • Proficient in Python and at least one high-performance backend language (Go, C++, Rust, or Java).
  • Experience with cloud-native architectures (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes, Helm).

Responsibilities

  • Architect scalable, multi-step agentic workflows delivering real-world value.
  • Own the stack; define the tech stack and integrate state-of-the-art tools for diverse, high-impact use cases.
  • Design advanced multi-agent communication frameworks, memory systems, context pipelines, and human-in-the-loop feedback mechanisms.

Skills

Python
Backend languages
MLOps
Cloud computing
Containerization

Tools

Docker
Kubernetes
Helm
AWS
GCP
Azure

Job description

A*STAR invites an experienced AI Engineer to lead design, implementation, and scaling of AI infrastructure in Singapore. You will bridge data science and software engineering by building robust pipelines and lifecycle management for models in production.

You will design reusable AI systems, own core components, and collaborate with safety teams to ensure secure, reliable, and scalable solutions across diverse domains from manufacturing to healthcare.

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