Staff AI Platform Engineer, Infrastructure Services

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About this kind of role

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

Typically does: This role focuses on building, maintaining, and scaling the infrastructure that supports artificial intelligence and machine learning models. Responsibilities include designing and implementing robust data pipelines, managing cloud-based resources, and ensuring the reliability and performance of AI platform components. Work often involves collaborating with data scientists, machine learning engineers, and other infrastructure teams to optimize the AI development lifecycle. The engineer will also be involved in automating deployment processes and monitoring system health.

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 experience with infrastructure-as-code tools is generally required.

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