Software Engineer, AI Infrastructure - USDS

About this kind of role

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

Typically does: Designs, develops, tests, and maintains software systems and tools that support artificial intelligence and machine learning initiatives. This often includes building and optimizing infrastructure for data storage, processing, and model deployment. Responsibilities can also involve automating machine learning workflows and ensuring the scalability and reliability of AI platforms. Collaboration with data scientists and machine learning engineers is a common aspect of the role.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms such as AWS or Azure, and familiarity with machine learning frameworks like TensorFlow or PyTorch are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for enabling advancements in artificial intelligence typically thrive in this role.