MLOps Engineer

Job Location:

Singapore - Singapore

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Description

Exciting opportunity with a rapidly growing AI-driven healthcare analytics company as an MLOps Engineer who will bridge the gap between data science and production engineering. Youll build and maintain the infrastructure that enables data scientists to ship models faster more reliably and at scale across Singapore and across Asia.

Role

Build and maintain ML pipelines and CI/CD workflows for model training evaluation and deployment
Manage model registries versioning and experiment tracking (MLflow Weights & Biases)
Set up monitoring for model drift data quality and system performance in production
Containerise and orchestrate ML workloads using Docker Kubernetes and cloud-native tools
Collaborate with data scientists to translate prototypes into maintainable production-ready systems

Responsibilities

3 years in a DevOps platform engineering or MLOps role
Hands-on experience with ML pipeline tooling: Kubeflow MLflow Metaflow or similar
Proficiency in Python and infrastructure-as-code (Terraform Helm)
Cloud platform experience: AWS GCP or Azure ML services a strong plus
Solid understanding of the full ML lifecycle from data ingestion to model serving

Interested applicants please submit your profile to for review. We will be in touch for initial discussion upon being shortlisted

EA Licence: 17S8795 EAP: R1108333

Required Experience:

Job DescriptionExciting opportunity with a rapidly growing AI-driven healthcare analytics company as an MLOps Engineer who will bridge the gap between data science and production engineering. Youll build and maintain the infrastructure that enables data scientists to ship models faster more reliably...