Software Engineer, AI Infrastructure

About this kind of role

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

Typically does: Software Engineers in AI Infrastructure build and maintain the systems that support artificial intelligence and machine learning development. This includes designing, developing, and deploying scalable and reliable infrastructure for data storage, processing, and model training. They often work on cloud platforms and contribute to the automation of machine learning workflows. Troubleshooting and optimizing existing systems to improve performance and efficiency are also common tasks.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms such as AWS or Azure, and familiarity with databases, containerization technologies (like Docker and Kubernetes), and machine learning frameworks are generally expected.

Good fit for: Individuals with a strong foundation in computer science and a passion for enabling cutting-edge AI applications often thrive in this role.