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About the Role:
- You will be the first ML Ops engineer on a small data science team, critical to productionizing advanced models.
- Work closely with data science and engineering to build scalable infrastructure.
Responsibilities:
- Design and maintain model productionization infrastructure for visible product features.
- Streamline training, validation, and deployment with the data science team.
- Implement monitoring and alerting for model performance and data quality.
Requirements:
- 4-6 years of experience in data science, data engineering, or ML engineering.
- Strong Python and SQL skills, experience with ML frameworks and cloud platforms.
- Hands-on experience with Docker, Kubernetes, and Airflow.
Benefits:
- Competitive base salary plus potential bonus and restricted stock.
- Medical, dental, vision, FSA, 401(k) match, paid vacation, paid sick days, paid parental leave, tuition reimbursement.
The Athletic
The Athletic is a sports media company powered by one of the largest global newsrooms in sports, delivering in-depth coverage of professional and college teams across North America and Europe. With over 500 full-time staff, they foster a collaborative culture focused on high-quality journalism and data-driven innovation.