Job Description

What You ll Do

  • Build, Refine and Use ML Engineering platforms and components.
  • Scaling machine learning algorithms to work on massive data sets and strict SLAs.
  • Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training.
  • Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop.
  • Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering.
  • Implement basic features aligning with technical requirements.
  • Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors.
  • Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews.
  • Write unit tests as well as higher level tests to handle expected edge cases a...

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