ML Ops Engineer

SWATX is seeking an experienced ML Ops Engineer to lead their machine learning operations. The role focuses on deploying, managing, and optimizing ML models in both preproduction and production environments. The ideal candidate will have extensive experience with Dataiku and MLFlow, along with strong DevOps capabilities. This position offers an opportunity to work with cutting-edge ML technologies, including LLMs, and implement best practices for ML operations.

The role requires expertise in both traditional VM-based workloads and containerized environments, with a special focus on Red Hat Linux and OpenShift. You'll be responsible for developing ML pipelines, implementing CI/CD processes, and ensuring optimal model performance. The position demands strong technical skills in Python, Docker, Kubernetes, and various ML frameworks.

This is an excellent opportunity for a mid-level engineer with ML operations experience to join a company that's investing in advanced ML infrastructure. You'll work closely with data scientists and engineers, contributing to the entire ML lifecycle from development to production. The role offers exposure to various technologies and platforms, making it an ideal position for someone looking to grow their MLOps expertise.