Platform Engineer

Role Name: ML Platform / Integration Engineer

Location:

Singapore (5 days onsite)

Employment Type:

12-month contract

Job Description

Design, build and support reliable platforms and integrations for AI and Computer Vision solutions. Work with GPI and IT to production applications and prepare them for operational support.

Scope of Work / Duties and Responsibilities

Develop and maintain Computer Vision services, APIs, configuration and error handling.

Package services and models for controlled deployment, versioning and rollback.

Build and maintain automated testing, CI/CD pipelines and release processes.

Implement health checks, structured logging, monitoring and operational diagnostics.

Work with IT on infrastructure, connectivity, certificates, access and environment requirements.

Support staging and production deployment, incident investigation and troubleshooting.

Prepare deployment guides, technical documentation, runbooks and handover materials.

Follow MBS security, privacy, access and change-management requirements.

Minimum Required Experience and Qualifications

Practical software engineering experience with services, APIs or system integration.

Strong Python development experience.

Experience with Linux, containers, version control, automated testing and CI/CD.

Familiarity with monitoring, logging, databases, networking and production support.

Able to troubleshoot across application, model and infrastructure layers.

Good documentation and communication skills.

Experience with Kubernetes, Azure, GPU workloads, video streaming or on-premises deployment is useful but not mandatory.

Experience with ML inference, ONNX, TensorRT or Triton is useful but not mandatory.