AI Data Engineer 1

About this kind of role

What a AI Data Engineer 1 usually does. The employer's own details are in the listing.

Typically does: An AI Data Engineer designs, builds, and maintains data infrastructure to support artificial intelligence and machine learning initiatives. This involves developing data pipelines, ensuring data quality, and optimizing data storage and retrieval for AI models. They often work with large datasets, transforming raw data into usable formats for training and evaluation. They collaborate with data scientists and machine learning engineers to meet their data needs.

Tools and skills: Proficiency in programming languages like Python, experience with database technologies (SQL, NoSQL), cloud platforms (AWS, Azure, Google Cloud), and data processing frameworks (Spark, Hadoop) are commonly required.

Good fit for: Individuals with a strong analytical background and a passion for data, combined with a solid understanding of software engineering principles, often thrive in this role.