MLOps Engineer

Role overview Build and operate the infrastructure that moves AI models into reliable production service. The work covers automated training and deployment, production monitoring, and improvements to service reliability, scalability, and cost control.

Responsibilities - Build and maintain automated model training and deployment pipelines. - Monitor production model health, latency, and operating costs. - Improve the reliability and scalability of AI services. - Support model deployment, versioning, and ongoing production monitoring.

Requirements - Experience with Docker, CI/CD, and a cloud platform such as AWS or GCP. - Experience deploying, versioning, and monitoring models in production. - Strong Python skills. - Infrastructure-as-code experience.