Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science

About this kind of role

What a Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines and infrastructure to support machine learning models and artificial intelligence applications. This role focuses on ensuring data quality, reliability, and scalability for AI platforms. Responsibilities often include data modeling, ETL processes, and optimizing data storage solutions. Data engineers in this area collaborate closely with data scientists and machine learning engineers.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (such as Snowflake or Redshift), and experience with big data tools like Spark or Hadoop is generally expected.

Good fit for: Individuals with a strong analytical background and a passion for building robust data systems to enable advanced AI initiatives typically thrive in this role.