Backend Engineer- Data Science
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The role
Own and evolve robust backend services for ML/AI lifecycle management, from experimentation to production.
Lead end-to-end architecture, implementation, testing, deployment, and on-call participation.
Optimize performance, reliability, and cost across multiple cloud environments and data centers.
Collaborate with data scientists and ML engineers to translate requirements into scalable platform capabilities.
Build observability, automation, and CI/CD workflows to enable fast, safe delivery of ML features.
Work in a fully in-person setting, focusing on architecture, domain logic, and collaborative problem-solving.
Lead end-to-end architecture, implementation, testing, deployment, and on-call participation.
Optimize performance, reliability, and cost across multiple cloud environments and data centers.
Collaborate with data scientists and ML engineers to translate requirements into scalable platform capabilities.
Build observability, automation, and CI/CD workflows to enable fast, safe delivery of ML features.
Work in a fully in-person setting, focusing on architecture, domain logic, and collaborative problem-solving.
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