Software Engineer, AI/ML Infrastructure (US-Based)

About this kind of role

What a Software Engineer, AI/ML Infrastructure (US-Based) usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains the infrastructure that supports artificial intelligence and machine learning models. This includes building and optimizing data pipelines, model deployment systems, and scalable computing environments. They often work on automation, monitoring, and performance improvements to ensure efficient model operation. Collaboration with data scientists and machine learning engineers is a key 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 containerization technologies like Docker and Kubernetes are common.

Good fit for: Individuals with a strong background in software engineering and a passion for enabling cutting-edge AI and machine learning applications thrive in this role.