About The Position

Designs and maintains robust AI agents and data pipelines. Performs data orchestrations and supports enterprise AI and Data efforts. Works across departments to build scalable AI solutions that ensure reliable, secure, and high-quality data is available to business users, analysts, upstream and downstream applications. Responsible for the full lifecycle of AI Development – from selecting foundation models (FM’s) to deploying scalable orchestration layers on hybrid cloud environments. Contributes to data labelling, MLOps integration, AI Observability, Language Models testing, and documentation in collaboration with AI analysts, AI Architects, data scientists, developers, and system owners.

Requirements

  • Experience with AI agents and data pipelines.
  • Experience with data orchestrations.
  • Experience supporting enterprise AI and Data efforts.
  • Experience building scalable AI solutions.
  • Experience with the full lifecycle of AI Development.
  • Experience selecting foundation models (FM’s).
  • Experience deploying scalable orchestration layers on hybrid cloud environments.
  • Experience with data labelling.
  • Experience with MLOps integration.
  • Experience with AI Observability.
  • Experience with Language Models testing.
  • Experience with documentation.

Responsibilities

  • Designs and maintains robust AI agents and data pipelines.
  • Performs data orchestrations and supports enterprise AI and Data efforts.
  • Builds scalable AI solutions that ensure reliable, secure, and high-quality data is available to business users, analysts, upstream and downstream applications.
  • Responsible for the full lifecycle of AI Development – from selecting foundation models (FM’s) to deploying scalable orchestration layers on hybrid cloud environments.
  • Contributes to data labelling, MLOps integration, AI Observability, Language Models testing, and documentation in collaboration with AI analysts, AI Architects, data scientists, developers, and system owners.
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