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Posted on 2025/02/21

Lead AI Developer - User Segmentation

Disney Direct to Consumer

Seattle, WA, United States

Full-time

Qualifications

  • Ideal candidates possess extensive experience in data engineering, machine learning optimization, and a strong understanding of data governance and privacy

  • 8+ years of experience driving business impact with data engineering

  • Degree in Computer Science, Mathematics, or related field

  • Expertise with common languages Python, SQL, and ability to learn new programming languages

  • Experience with Spark, Snowflake, and related big data tools

  • Experience deploying and optimizing machine learning flows, models, and frameworks in AWS platforms at scale

Responsibilities

  • As a key member of our AI development group, you will be responsible for building and deploying AI-powered solutions that enhance personalization, marketing, and user segmentation

  • This high-impact role involves collaboration with data scientists and engineers to develop machine learning infrastructure and pipelines

  • Build and deploy AI-powered solutions that drive business impact

  • Collaborate with cross-functional teams to design and develop scalable infrastructure and pipelines

  • Analyze data to inform personalized experiences for users

  • Develop predictive modeling capabilities to forecast consumer behavior

Full Description

About the Position:*

We are seeking an experienced Lead AI Developer to join our team at Disney Direct to Consumer.

As a key member of our AI development group, you will be responsible for building and deploying AI-powered solutions that enhance personalization, marketing, and user segmentation.

This high-impact role involves collaboration with data scientists and engineers to develop machine learning infrastructure and pipelines. Ideal candidates possess extensive experience in data engineering, machine learning optimization, and a strong understanding of data governance and privacy.

About the Job:

• Build and deploy AI-powered solutions that drive business impact

• Collaborate with cross-functional teams to design and develop scalable infrastructure and pipelines

• Analyze data to inform personalized experiences for users

• Develop predictive modeling capabilities to forecast consumer behavior

Requirements:

• 8+ years of experience driving business impact with data engineering

• Degree in Computer Science, Mathematics, or related field

• Expertise with common languages Python, SQL, and ability to learn new programming languages

• Experience with Spark, Snowflake, and related big data tools

• Experience deploying and optimizing machine learning flows, models, and frameworks in AWS platforms at scale

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