Posted on 2025/02/21
Lead AI Developer - User Segmentation
Disney Direct to Consumer
Seattle, WA, United States
Qualifications
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Ideal candidates possess extensive experience in data engineering, machine learning optimization, and a strong understanding of data governance and privacy
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8+ years of experience driving business impact with data engineering
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Degree in Computer Science, Mathematics, or related field
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Expertise with common languages Python, SQL, and ability to learn new programming languages
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Experience with Spark, Snowflake, and related big data tools
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Experience deploying and optimizing machine learning flows, models, and frameworks in AWS platforms at scale
Responsibilities
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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
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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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