Principal AI​/ML Engineer

Position

Description:

Primary Responsibilities:

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal AI/ML Engineer (or closely related occupation) building large-scale AI/ML pipelines for feature engineering and model deployment, on AWS and Snowflake data warehouses.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal AI/ML Engineer (or closely related occupation) building large-scale AI/ML pipelines for feature engineering and model deployment, on AWS and Snowflake data warehouses.

Skills and Knowledge: DE architecting, designing, and building highly scalable Cloud-based Big Data applications according to business user requirements in AWS, using S3, EMR, Lambda, and Athena; acting as a member of a team responsible for implementing data lake strategies using Snowflake as a platform for structured and semi-structured data; and building and formulating data lake design patterns for data ingestion, processing, and extraction for personalization teams using Snowflake, SQL, Python, data warehousing, and advanced data modeling techniques (Entity-Relationship and Dimensional modeling).
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