Found Description
Context And Mission
The AI Factory is scaling the adoption of AI solutions from experimentation to production. To support this growth, we are looking for a DevOps/MLOps Engineer who will provide the operational foundations required to deploy, monitor, maintain, and scale AI services reliably and efficiently.
The role will be responsible for implementing deployment pipelines, automation, monitoring, environment management, and operational best practices for machine learning and generative AI systems. Working closely with AI engineers, platform teams, infrastructure specialists, and security teams, the successful candidate will help ensure that AI solutions are reproducible, observable, secure, and production-ready.
The mission of this role is to accelerate the operationalization of AI by providing robust MLOps and DevOps capabilities that enable reliable, scalable, and maintainable AI services.
The role will be responsible for implementing deployment pipelines, automation, monitoring, environment management, and operational best practices for machine learning and generative AI systems. Working closely with AI engineers, platform teams, infrastructure specialists, and security teams, the successful candidate will help ensure that AI solutions are reproducible, observable, secure, and production-ready.
The mission of this role is to accelerate the operationalization of AI by providing robust MLOps and DevOps capabilities that enable reliable, scalable, and maintainable AI services.
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