Job Description

We are looking for an Expert Data Engineer to join our Service Domain Data & Analytics team on a full-time permanent employment agreement.

Responsibilities

  • Build and maintain distributed, high-performance data pipelines handling large volumes of structured and unstructured data in near real-time
  • Design and implement end-to-end ML pipelines on AWS SageMaker, covering model evaluation, deployment, and monitoring
  • Drive cloud migration initiatives from on-premise systems to AWS while ensuring seamless integration
  • Lead communities of practice and mentor junior engineers in software engineering fundamentals and ML best practices
  • Collaborate with cross-functional teams to deliver Customer 360 data products and AI-powered analytics solutions

Qualifications

  • MLOps/SageMaker: 5+ years building, deploying, and scaling end-to-end ML pipelines on AWS SageMaker
  • Python: 7+ years enterprise-l...

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