Description

You will work as an independent contributor developing and deploying machine learning models within the merchandising domain.

Responsibilities

• Research and frame complex business problems into actionable machine learning solutions.
• Develop, test, and deploy machine learning models into production environments using MLOps practices.
• Build and maintain Python libraries and APIs to support model integration.
• Write clean, production-level code and explain technical models and logic to the engineering team.
• Collaborate with customer data scientists and ML engineers on hands-on implementation.

Required Skills

• 4+ years of experience developing machine learning models.
• 4+ years of experience deploying models into production using MLOps practices.
• 5+ years of experience building Python libraries and APIs.
• 3+ years of experience with merchandising machine learning solutions, such as assortment, item selection, or pricing.
• Proficiency in Python, SQL, and PySpark.
• Experience with cloud computing, specifically GCP and Vertex AI.
• Master's degree in a relevant field.
• Ability to work in the CST time zone and travel as required.

Key Skills

Education

Any Graduate