Senior AI Platform / Cloud Infrastructure Engineer at Pinnacle Group, Inc. in United States

Job Description

About this kind of role

What a Senior AI Platform / Cloud Infrastructure Engineer usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains the infrastructure supporting artificial intelligence and machine learning applications. This includes cloud environments, data pipelines, and the tools used by data scientists and machine learning engineers. Responsibilities often involve automation, scalability, and ensuring the reliability of AI platform components. They may also collaborate with security teams to implement robust security measures.

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

Good fit for: Individuals with a strong background in cloud computing and a passion for enabling data science and machine learning initiatives typically excel in this role.

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