Senior Infrastructure Software Engineer, Enterprise AI

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About this kind of role

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

Typically does: Designs, develops, and maintains software solutions for infrastructure supporting artificial intelligence and machine learning workloads. This includes building and scaling platforms for data processing, model training, and deployment. Responsibilities often involve automation, performance optimization, and ensuring the reliability and security of AI infrastructure. Collaboration with data scientists, machine learning engineers, and other software engineers is a key component.

Tools and skills: Proficiency in programming languages like Python, Java, or Go, experience with cloud platforms (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Ansible) is generally expected.

Good fit for: Individuals with a strong background in software engineering and a passion for building scalable and robust systems to support advanced AI applications thrive in this role.