Job Description

Responsibilities

  • Architect scalable, reusable data science and machine learning pipelines leveraging cloud services such as AWS SageMaker, Textract, and Comprehend.
  • Design multi‑tenant systems with robust application deployment architectures and rate‑limiting mechanisms to ensure high availability and performance.
  • Translate custom client requirements into scalable technical architecture, conducting impact assessments and delivery planning.
  • Lead development and deployment of complex data science and information extraction solutions in client cloud environments.
  • Manage and optimize CI/CD pipelines for continuous delivery of data science applications.
  • Own the tenant onboarding process and manage lifecycle operations for multi‑tenant deployments.
  • Oversee DevOps and MLOps teams to ensure reliable, consistent releases and maintenance of deployed products.
  • Collaborate with internal and client DevOps te...

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