MLOps Engineer

This role focuses on building and maintaining the Machine Learning infrastructure and MLOps practices to enable Data Scientists to develop, deploy, and manage ML models in production. The position involves creating automated tools, SDKs, and pipelines to ensure reproducibility, observability, and governance of models, with a strong emphasis on self-service capabilities. The engineer will also optimize complex models, such as Bayesian and ensemble models, while establishing enterprise-grade quality standards.