Description

Develop and deploy machine learning models in the merchandising domain as an independent contributor.

This role is on-site.

Responsibilities

• Research and frame complex business problems into actionable machine learning solutions.
• Develop, test, and deploy models into production using MLOps practices.
• Build and maintain Python libraries and APIs to support model integration.
• Write production-level code and explain technical logic to engineering teams.

Required Skills

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

Preferred Skills

• Collaboration with customer data scientists and ML engineers.
• Willingness to travel as required.

Key Skills

Education

Any Graduate