Sr Platform Infrastructure Engineer, AI Transformation

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About this kind of role

What a Sr Platform Infrastructure Engineer, AI Transformation usually does. The employer's own details are in the listing.

Typically does: This role focuses on designing, building, and maintaining the underlying infrastructure that supports artificial intelligence and machine learning applications. Responsibilities include ensuring scalability, reliability, and security of AI platforms, often involving automation and cloud technologies. The engineer will collaborate with data scientists, machine learning engineers, and other stakeholders to optimize performance and troubleshoot issues. They may also be involved in researching and implementing new technologies to advance the AI infrastructure.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (e.g., Docker, Kubernetes), scripting languages (e.g., Python, Bash), and infrastructure-as-code tools (e.g., Terraform, Ansible) is generally required.

Good fit for: Individuals with a strong background in systems engineering and a passion for enabling cutting-edge AI solutions typically thrive in this position.