Description
The role combines Linux production systems administration with MLOps, including Docker/Podman containerization, CI/CD, monitoring, infrastructure automation, Kubernetes migration, and secure scaling. It also involves developing Python-based ML pipelines, microservice architectures, RAG and agent systems, and supporting AI platforms. The position requires Python, Linux, Docker/Podman, and CI/CD experience, with Kubernetes, RAG, agent architectures, embedding technologies, and vector databases as advantageous qualifications.
