Senior Data Engineer, AI/ML Platforms

About this kind of role

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

Typically does: Designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence and machine learning initiatives. This includes developing scalable data storage solutions, ensuring data quality, and optimizing data processing workflows. They collaborate with data scientists and machine learning engineers to provide reliable and efficient access to data. Responsibilities often involve automating data-related tasks and monitoring system performance.

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