Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.
Currently pursuing a Undergraduate/ Master's in Computer Science or Software Engineering or a related discipline.
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Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science or Software Engineering or a related discipline.
...
Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.
Currently pursuing a Undergraduate/ Master's in Computer Science or Software Engineering or a related discipline.
...
Collaborate closely with IT operations and DevOps teams to ensure the smooth integration of infrastructure platforms with other applications and processes.
Establish and maintain systems for monitoring machine learning models in production. Oversee the development of machine learning models at MoneyLion to ensure proper model governance.
Effectively manage cloud infrastructure costs by monitoring and optimizing spending, and provide transparency and accountability in cost-related matters.
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Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science or Software Engineering or a related discipline.
...