Description

You will own the end-to-end pipeline for data science models across enterprise applications.

This role is hybrid.

Responsibilities

• Build, train, and deploy machine learning models for credit card decisioning, fraud tracking, and risk assessment.
• Collaborate directly with data scientists to define model requirements and ensure discover integration across groups.
• Maintain and optimize models supporting partner applications and enterprise systems.
• Manage model infrastructure and deployment pipelines using AWS and Kubernetes.

Required Skills

• 10+ years of professional experience in data engineering or related fields.
• Expert proficiency in Python.
• Deep knowledge of AWS services (ECS, EC2) at Solutions Architect level.
• Hands-on experience with Kubernetes for container orchestration.
• Proficiency in Spark for large-scale data processing.
• Familiarity with Machine Learning practices and tools like Databricks.
• Working knowledge of SQL.

Preferred Skills

• Experience with Kubeflow for ML workflow orchestration.

Key Skills

Education

Any Graduate