AI/ML Data Engineer II

About this kind of role

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

Typically does: Data Engineers build and maintain data pipelines that transform raw data into usable formats for machine learning models. They design, develop, and implement data storage and processing solutions, ensuring data quality and reliability. This role often involves collaborating with data scientists and other engineers to optimize data infrastructure. They may also be responsible for monitoring data systems and troubleshooting issues.

Tools and skills: Proficiency in programming languages like Python and SQL, experience with cloud platforms (such as AWS, Azure, or Google Cloud), and familiarity with big data technologies like Spark and Hadoop are commonly required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment often thrive in this role.