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Bright Vision Technologies
An ML Infrastructure Engineer at Bright Vision Technologies designs, builds, and operates the platform layer powering large-scale AI training and inference workloads. The role focuses on managing GPU clusters, distributed training frameworks, high-performance storage, and networking architectures to ensure reliability, efficiency, and cost control for researchers and applied ML teams.
Headquarters
Saibaba Mission, Tamil Nadu, India
Company Size
11-50 employees
Founded
2009
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Bright Vision Technologies.
27% below the average for this role