Senior MLOps Engineer for AI Platform & Cloud Production

Singapore General Hospital; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Singapore General Hospital seeks a mid-senior MLOps Engineer for the in-house AI team (AIDO). You’ll help design the MLOps platform, deploy AI models, and build robust CI/CD and observability for clinical AI projects.

You will collaborate with data scientists and IT professionals to deliver production-ready services, configure cloud tooling, and contribute to governance in a regulated healthcare setting.

Qualifications

• STEM Bachelor degree with 3-5 years of experience in MLOps, DevOps, software engineering, or cloud infrastructure roles.
• Hands-on experience with AWS services — EKS, ECR, S3, IAM, CloudWatch.
• Proficiency in Python for scripting, automation, and service development.
• Working experience with Docker and Kubernetes in real-world deployment environments.
• Experience with building or maintaining CI/CD pipelines — GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Familiarity with ML lifecycle tooling such as MLflow for experiment tracking and model versioning.
• Familiarity with AI/ML platform concepts — model registries, RAG pipelines, and LLM frameworks such as LangChain or LlamaIndex.
• Basic understanding of model monitoring and observability practices.
• Comfortable working in highly regulated or on-premise environments — not exclusively cloud-native.
• Ability to translate ambiguous requirements into clear technical plans and execute with minimal direction.
• Curious and self-directed learner — comfortable picking up new tools and technologies without a formal training path.
• Good communication skills — able to work alongside data scientists, engineers, IT professionals and non-technical stakeholders.

Responsibilities

• Design and build out MLOps platform, tooling choices, deployment standards, and infrastructure decisions.
• Build and maintain CI/CD pipelines for model training, validation, containerisation, and deployment.
• Set up monitoring, alerting, and observability for model performance, data drift, latency, and infra health.
• Maintain clear documentation for infrastructure and deployment processes.
• Support deployment of clinical AI products to cloud infrastructure including AWS.
• Configure cloud-native tooling for AI workloads in regulated healthcare environments.
• Promote engineering best practices like code review processes and deployment checklists.
• Collaborate with data scientists to package models as production-ready services (REST APIs, batch inference).
• Translate ambiguous requirements into clear technical plans and execute with minimal direction.

Skills

Python scripting

Docker & Kubernetes

CI/CD pipelines

AWS services

GitHub Actions

Education

Bachelor's degree in STEM

Tools

AWS: EKS

ECR

S3

IAM

CloudWatch

MLflow

LangChain

Job description

Singapore General Hospital seeks a mid-senior MLOps Engineer for the in-house AI team (AIDO). You’ll help design the MLOps platform, deploy AI models, and build robust CI/CD and observability for clinical AI projects.

You will collaborate with data scientists and IT professionals to deliver production-ready services, configure cloud tooling, and contribute to governance in a regulated healthcare setting.