ML Platform / Integration Engineer

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

Scope of Work / Duties andResponsibilities

• 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.

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.