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Data engineer with ML
Location: Beaverton, Oregon or Pleasanton, CA -Must be Local
Must have:
We are not looking for ML engineers or Data Scientist, we are looking for Software engineers, candidates from data side with ML Ops
Must have- Data Bricks, AWS, Spark, ML Ops, need independent consultants , data pipeline with ML. ETL pipeline.
someone who has done migration type projects will be the best fit.
About The Team
Data pipeline and ETL tooling are some of the most important components required to make ML successful. Unification of these tools enables us to simplify our development and invest all effort and enhancements into a single platform. Our ML tooling must enable ML applications to be easily built, maintained, deployed and validated. By platformizing our ML pipeline tools, Workday can build many high value ML solutions very quickly. Today, ML productivity can play a huge role in product success - this investment into improving data pipeline and ETL tooling is exactly what our team does.
We strive to provide industry-leading solutions to ML and data engineering problems for Workday developers and Workday customers. We are made up of an eclectic group of dedicated individuals who pull experience from almost every corner of Workday and some of today's top tech companies. We take great pride in being relentlessly innovative, intensely encouraging, and persistently positive.
As a Software Development Engineer in ML, you will:
Basic Qualifications:
Other Qualifications:
Full Time
$94k-118k (estimate)
06/06/2024
06/09/2024