Machine Learning Operations Engineer, Baseball Systems

Job Description

The Detroit Tigers are currently seeking a Machine Learning Operations Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes related to quantitative models in support of Baseball Operations initiatives. This position will report to the Director, Baseball Systems.

KEY RESPONSIBILITIES:
• Analyze large datasets and determine the optimal methods for data preparation.
• Collaborate with data scientists and other data engineers to build effective data pipelines.
• Design, develop, and maintain efficient and extensible model deployment frameworks.
• Manage, maintain, scale, and improve machine learning models in production environments.
• Create and maintain effective access methods and patterns for production models.
• Create support systems and dashboards to effectively communicate data insights to our data users.
• Collaborate with the larger Systems team to plan and build data infrastructure.
• Assist in other data engineering tasks as needed.

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES:
• 2+ years of relevant work experience in data and/or ML engineering.
• Academic, professional, and/or research experience with applied mathematical and predictive modeling.
• Proficiency in back-end development, particularly with Python and R.
• Experience querying SQL data warehouses built for data science and analytics.
• Familiarity with cloud computing, cloud storage, and cloud services – preferably Azure.
• Familiarity with cloud-based data lakes, data warehouses, and related tooling.

PREFERRED KNOWLEDGE, SKILLS & ABILITIES:
• Familiarity with Airflow.
• Experience using Apache Spark (Databricks on Azure preferred).
• Strong SQL skills (T-SQL preferred).
• Experience working with containers and container deployment.

WORKING CONDITIONS:
• Office environment.
• The location may be based in Detroit or fully remote.
• Occasional evening, weekend, and holiday hours are required.

The above is intended to describe the essential job functions, the general supplemental functions, and the essential requirements for the performance of this job. It is not construed as an exhaustive statement of all additional duties, responsibilities, or nonessential requirements. Detroit Tigers, Inc has the right to change, modify, suspend, interrupt, or cancel in whole or in part any job functions outlined in a job description at any time and without advance notice to the employee.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.

Detroit Tigers is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

PRIVACY POLICY

Jobcode: Reference SBJ-gp94pe-3-149-255-239-42 in your application.