AI Infrastructure Architect

1 week ago

Mysore, Karnataka, India beBeeMLOps Full time US$ 2,00,000 - US$ 2,50,000

Leading the Design and Implementation of AI Infrastructure is a critical role that requires strategic vision and technical expertise. This Senior MLOps Engineer will be responsible for overseeing the end-to-end development, deployment, and scaling of our artificial intelligence infrastructure.

This individual must have a deep understanding of machine learning operations, including the design, implementation, and management of large-scale AI systems. They will work closely with researchers, product teams, and DevOps to turn prototypes into production services that meet strict service level agreements (SLAs) for latency, reliability, and cost efficiency.

Key Responsibilities:End-to-End AI Infrastructure Design and Implementation: The ideal candidate will be responsible for designing, implementing, and managing large-scale AI systems, ensuring they meet the required SLAs for latency, reliability, and cost efficiency.Collaboration and Communication: This Senior MLOps Engineer will work closely with cross-functional teams, including researchers, product teams, and DevOps, to ensure seamless communication and collaboration throughout the project lifecycle.Prototyping and Production Services: The successful candidate will be responsible for turning prototypes into production services, ensuring they are scalable, reliable, and meet the required SLAs.Technical Leadership: As a Senior MLOps Engineer, this individual will provide technical leadership and guidance to junior team members, ensuring they have the necessary skills and knowledge to succeed in their roles.

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