MLOps Engineer

Responsibilities

• Monitor the performance of data science models in production, ensuring successful periodic executions and addressing data or concept drift.
• Ensure production code quality through rigorous testing (minimum 60% coverage), proper formatting, and automated linting processes.
• Manage the model lifecycle, including data usage, modeling techniques, and production releases using tools like MLFlow.
• Implement Continuous Delivery (CD) pipelines to automate compilation, code review, and deployment upon every push.
• Support model development by building and improving a feature store to manage high-value data characteristics.

Requirements

• Bachelor's degree in Computer Science, Systems Engineering, or a related field.
• Minimum of 3 years of experience in MLOps or related roles (5 years preferred).
• Proficiency in Python, PySpark, SQL, and Git.
• Hands-on experience with Cloud platforms (AWS or Azure).
• Strong knowledge of DevOps practices, CI/CD pipelines, Airflow, and Docker.
• Professional proficiency in English (90% required).

Preferred Qualifications

• Master's degree in Computer Science, Data Science, or a related field.
• Experience with AWS specific services such as CodeCommit, CodePipeline, and CodeBuild.

About the Company

AT&T Services, Inc. is a global leader in telecommunications. In Mexico, we promote equal opportunities and inclusion, fostering a diverse environment where talent from all backgrounds can thrive.