ML Solutions Architect
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Role details
Tech stack
Requirements
At least 5 years as a customer-facing solutions architect. Hands-on keyboard producing code and managing teams.
Experience with enterprise customers and supporting product adoption and services expansion.
Must be able to write Python or Scala.
With your experience, we expect mastery over SQL and the ability to troubleshoot distributed databases.
Experience working with a wide variety of data sources, including MySQL, Kafka, and business app’s like SAP and ORCL.
Finally, must have experience with Snowflake, Redshift, or EMR.
About the company
We are a data and AI services company that has been growing tremendously over the last 10 years. We anticipate growing 40% yoy over the next 5 years and are looking to bring on solutions architects who have worked with enterprise customers to build out applications and utilize data in a more efficient way.
Why join us? Join us for the growth and opportunity to join a best-in-class organization. As we grow there will be opportunities to work with the biggest commercial companies to support their adoption and growth into AI/ ML applications.
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