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.