Senior Machine Learning Operations Engineer (Remote)

The Athletic is a prominent sports media company with a large newsroom dedicated to delivering comprehensive sports coverage. They are seeking a Senior Machine Learning Operations Engineer to design and maintain infrastructure for machine learning models, collaborating closely with data science and engineering teams to ensure model performance and quality in production.

Responsibilities:

• 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

Requirements:

• 4-6 years of experience as a data scientist, data engineer, or machine learning engineer with a proven ability to build machine learning model pipelines and infrastructure
• Strong working knowledge of Python and SQL to pull, transform, and otherwise deal with data in all of its forms
• Proven experience with ML frameworks (e.g., scikit-learn, PyTorch) and cloud platforms (e.g., GCP, AWS, Azure)
• Hands-on experience with Docker, Kubernetes, and Airflow
• Ability to drive projects with minimal guidance and prioritize high-impact work
• Strong verbal and written communication skills with ability to build cross-functional relationships
• Can explain sophisticated concepts to diverse audiences and craft compelling stories with data