Software Engineer — AI Infrastructure at Elantis in Pleasanton, CA

Job Description

About this kind of role

What a Software Engineer — AI Infrastructure 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 data pipelines, cloud infrastructure, and deployment frameworks. Responsibilities can also involve collaborating with data scientists and machine learning engineers to ensure efficient model training and serving. A focus on scalability, reliability, and performance is common.

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 generally required.

Good fit for: Individuals with a strong foundation in computer science principles and a passion for building robust and scalable systems to enable advanced AI applications often thrive in this role.

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