AI DevOps Engineer

AI DevOps Engineers bridge the gap between artificial intelligence development and reliable, scalable infrastructure. In this role, you will design, implement, and maintain the CI/CD pipelines, model deployment systems, and monitoring frameworks that keep AI products running smoothly in production. You will collaborate closely with machine learning engineers, data scientists, and software developers to ensure that models are deployed efficiently, versioned correctly, and served with high availability. Responsibilities include containerizing AI workloads using Docker and Kubernetes, automating infrastructure as code with tools like Terraform or CloudFormation, and integrating observability stacks such as Prometheus, Grafana, and ELK for real-time performance tracking. You will also manage GPU and TPU resources, optimize inference latency, and safeguard model integrity through robust testing and rollback strategies. This is an ideal role for engineers passionate about both cutting-edge AI and rock-solid infrastructure. The position typically offers flexibility in work arrangements, with many employers supporting fully remote or hybrid onsite options depending on team needs and candidate location.

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