Data Scientist - Production Machine Learning

Role Overview:

• Develop, deploy, and maintain production machine learning models in a cloud environment.
• Perform exploratory data analysis and feature engineering to identify patterns and modeling approaches.
• Build and improve data pipelines supporting model development, deployment, and maintenance.

Qualifications:

• At least 2 years of experience building and maintaining production ML models.
• Strong Python programming and advanced SQL skills.
• Experience deploying models into production and monitoring them post-deployment.

Tools & Platforms:

• AWS SageMaker, Vertex AI, or Azure Machine Learning.
• Git or comparable version-control system.
• Production ML deployment and monitoring tools.

Location & Engagement:

• Remote position requiring residence in an approved LATAM country.
• Full-time contract role with working-hour alignment to U.S. time zones.
• Expected contract end date: December 31, 2026.