Senior AI Cloud Platform Engineer (AWS, MCP, and Agent Infrastructure) at Vtechys

Job Description

About this kind of role

What a Senior AI Cloud Platform Engineer (AWS, MCP, and Agent Infrastructure) usually does. The employer's own details are in the listing.

Typically does: This role focuses on designing, building, and maintaining cloud-based platforms for artificial intelligence and machine learning applications. Responsibilities include automating infrastructure provisioning, optimizing performance, and ensuring the scalability and reliability of AI workloads. The engineer will also work with agent infrastructure, likely involving the deployment and management of software agents for data collection and model serving. Collaboration with data scientists and machine learning engineers is a key aspect of the position.

Tools and skills: Proficiency in cloud platforms like Amazon Web Services (AWS) and potentially Microsoft Azure (Azure), infrastructure-as-code tools, containerization technologies (e.g., Docker, Kubernetes), and scripting languages (e.g., Python) is generally required.

Good fit for: Individuals with a strong background in cloud computing, automation, and a passion for enabling AI/ML initiatives thrive in this role.

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