Software Engineer – Data and Feature Infrastructure, AI Platform

About this kind of role

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

Typically does: Designs, develops, tests, and maintains software solutions for data infrastructure and feature engineering, often within an artificial intelligence platform. This includes building pipelines for data ingestion, processing, and storage, as well as creating tools to enable feature development and experimentation. Responsibilities also involve optimizing data systems for performance and scalability, and collaborating with data scientists and machine learning engineers. They ensure the reliability and efficiency of the underlying infrastructure supporting AI models.

Tools and skills: Proficiency in programming languages like Python or Java, experience with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with data processing frameworks such as Spark or Hadoop are common.

Good fit for: Individuals with a strong analytical background and a passion for building robust and scalable data systems are typically successful in this role.