Azure ML Engineer

Employment Type

: Full-Time

Industry

: Engineering



  • Establish scalable, efficient, automated processes for large-scale data analyses, model development, validation and implementation.
  • Develop and establish model management technology and processes for helping enable MLOps such as measure on-going accuracy, tooling for data / model drift, etc.
  • Establish reusable data processing pipelines to enable rapid re-training and iteration through different ML methodologies
  • Bot service development and deployment
  • Build, Train and Publish multiple Cognitive Micro-services
  • Design and Develop the WebChat client
  • Data model design for historical conversation analytics
  • Lead development and maintenance of scalable data pipelines that will ingest, transform, and distribute numerous data streams and/or batches
  • Lead and establish data management frameworks to prevent data lakes from becoming data swamps.
  • Lead development CI/CD pipeline that manages and deploys data pipelines, data infrastructure and data artifacts as code
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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