Machine Learning Operations (MLOps) Engineer

The Machine Learning Operations (MLOps) Engineer builds and operates pipelines, platforms, and observability tools to transition machine learning models from experimentation into reliable, cost-efficient production. This role involves designing automated ML delivery workflows, reducing operational toil, and ensuring models are reproducible, monitored, and safely serving predictions at scale. The position is part of a new MLOps team within Site Reliability Engineering, collaborating with data scientists, engineers, and infrastructure teams to optimize model training, deployment, and inference workloads.