Software Engineer, Data Infrastructure - AI Platform

About this kind of role

What a Software Engineer, Data Infrastructure - AI Platform usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data infrastructure to support artificial intelligence and machine learning initiatives. This includes developing data pipelines, optimizing data storage solutions, and ensuring data quality and reliability. Responsibilities often involve collaborating with data scientists and machine learning engineers to meet their data needs and scaling infrastructure to handle growing data volumes. They also monitor system performance and troubleshoot issues to maintain operational efficiency.

Tools and skills: Proficiency in programming languages like Python or Java, experience with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with database technologies (SQL, NoSQL) and data warehousing solutions are generally required.

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