AI/ML Data Engineer

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About this kind of role

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

Typically does: Data Engineers build and maintain the infrastructure that enables Artificial Intelligence and Machine Learning models. This involves designing, developing, and testing data pipelines to collect, process, and store large datasets. They ensure data quality, reliability, and accessibility for data scientists and machine learning engineers. Responsibilities often include optimizing data storage and retrieval for performance and scalability.

Tools and skills: Proficiency in programming languages like Python and SQL, experience with cloud platforms (e.g., AWS, Azure, GCP), and familiarity with big data technologies such as Spark, Hadoop, and data warehousing solutions are common.

Good fit for: Individuals with a strong analytical background, a passion for data, and a desire to build robust and scalable data systems thrive in this role.