• Design, build, and maintain machine learning model productionization infrastructure. These models will drive very visible product features at The Athletic, and your infrastructure is key to their success. • Work with the rest of the data science team to streamline model training, validation, and deployment. • Implement robust monitoring and alerting for model performance, drift, and data quality, ensuring our models remain accurate in production. • Cultivate an outstanding data science environment by championing best practices in ML Ops and evaluating and integrating new technologies into our data science stack.