Staff Software Engineer, AI Foundry Data Quality and Training Data

About this kind of role

What a Staff Software Engineer, AI Foundry Data Quality and Training Data usually does. The employer's own details are in the listing.

Typically does: This role focuses on building and maintaining infrastructure and tools to support the creation, validation, and improvement of data used for artificial intelligence models. Responsibilities often include developing data pipelines, implementing data quality checks, and collaborating with data scientists and machine learning engineers. The engineer will likely work on automating data processing tasks and ensuring the reliability and scalability of data systems. They may also be involved in researching and implementing new data quality techniques.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (e.g., AWS, Azure, GCP), and familiarity with data processing frameworks (e.g., Spark, Hadoop) are generally required, alongside SQL and data quality tools.

Good fit for: Individuals with a strong background in software engineering and a passion for data, particularly those interested in the intersection of data quality and machine learning, typically thrive in this position.