Software Engineer, AI Infrastructure, Core

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About this kind of role

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

Typically does: Designs, develops, tests, and maintains software solutions that support artificial intelligence and machine learning models. This often involves building and optimizing the underlying infrastructure, including data pipelines, model training platforms, and deployment systems. Responsibilities may also include performance tuning, scalability improvements, and ensuring the reliability of AI-powered applications. Collaboration with data scientists and machine learning engineers is a frequent aspect of the work.

Tools and skills: Proficiency in programming languages like Python, Java, or C++, experience with cloud platforms (e.g., AWS, Azure, GCP), and familiarity with DevOps practices, containerization (e.g., Docker, Kubernetes), and database technologies are generally required.

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