Senior Machine Learning Operations Engineer - Remote

Overview

The Athletic is seeking a Senior Machine Learning Operations Engineer to work remotely, focusing on data pipelines, infrastructure, and model monitoring to support advanced machine learning models.

In Short

• Design and maintain machine learning model productionization infrastructure.
• Collaborate with the data science team for model training and deployment.
• Implement monitoring for model performance and data quality.
• Champion best practices in ML Ops.
• Integrate new technologies into the data science stack.
• 4-6 years of relevant experience required.
• Strong skills in Python and SQL.
• Experience with ML frameworks and cloud platforms.
• Hands-on experience with Docker, Kubernetes, and Airflow.
• Excellent communication skills are essential.

Requirements

• 4-6 years of experience as a data scientist, data engineer, or machine learning engineer.
• Proven ability to build machine learning model pipelines.
• Strong working knowledge of Python and SQL.
• Experience with ML frameworks (e.g., scikit-learn, PyTorch).
• Hands-on experience with cloud platforms (e.g., GCP, AWS, Azure).
• Experience with Docker, Kubernetes, and Airflow.
• Ability to drive projects with minimal guidance.
• Strong verbal and written communication skills.
• Ability to explain complex concepts to diverse audiences.

Benefits

• Work remotely from the USA or Canada.
• Be part of a dynamic team in a leading sports media organization.
• Opportunity to influence data science practices.
• Collaborate with a talented team of professionals.