ML Platform / Integration Engineer

SOFTENGER (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

SOFTENGER (SINGAPORE) PTE. LTD. is seeking a software engineer to design, build and support reliable AI and computer vision platforms and integrations. You will work with GPI and IT to productionise applications and prepare them for operational support.

The role focuses on developing CV services, packaging models, and building CI/CD pipelines, with emphasis on health checks, logging and diagnostics. Collaboration across teams and strong documentation are essential.

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, videostreaming or on-premises deployment is useful but not mandatory.
• Experience with ML inference, ONNX, TensorRT or Triton is useful but not mandatory.

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.

Skills

Python

Linux

Containers

CI/CD

Kubernetes

Azure

GPU workloads

Video streaming

On-premises deployment

ML inference

ONNX

TensorRT

Triton

Networking

Monitoring

Logging

Documentation

Communication

Tools

Kubernetes

Azure

Job description

Design, build and supportreliable platforms and integrations for AI and Computer Vision solutions. Workwith GPI and IT toproductioniseapplications and prepare them foroperational support.

Scope of Work / Duties andResponsibilities

• Develop andmaintainComputer Vision services, APIs,configurationand error handling.

• Package services and models for controlled deployment,versioningand rollback.

• Build andmaintainautomated testing, CI/CDpipelinesand release processes.

• Implement health checks, structured logging,monitoringand operational diagnostics.

• Work with IT on infrastructure, connectivity, certificates,accessand environment requirements.

• Support staging and production deployment, incidentinvestigationand troubleshooting.

• Prepare deployment guides, technical documentation,runbooksand handover materials.

Minimum Required Experience and Qualifications

• Practical software engineering experience with services,APIsor system integration.

• Strong Python development experience.

• Experience with Linux, containers, version control, automatedtestingand CI/CD.

• Familiarity with monitoring, logging, databases,networkingand production support.

• Able to troubleshoot across application,modeland infrastructure layers.

• Good documentation and communication skills.

• Experience with Kubernetes, Azure, GPU workloads, videostreamingor on-premises deployment is useful but not mandatory.

• Experience with ML inference, ONNX,TensorRTor Triton is useful but not mandatory.