Data Science Builder Team MLOps

Saxon Global•Minnetonka Mills, MN

About The Position

MLOps contractor is a hands-on technical contributor responsible for building and improving the reusable infrastructure, deployment patterns, automation, and operational capabilities that enable machine learning models and advanced analytics workflows to move reliably from development into production. The role creates reusable tooling and self-service patterns, reduces manual operational work, improves the developer experience, and helps ensure data science solutions can be deployed and evolved consistently across Azure, Snowflake, source-control platforms, and related tooling. The primary emphasis of this role is production enablement and platform engineering rather than exploratory model development.

Requirements

  • Hands-on technical contribution
  • Experience with Azure
  • Experience with Snowflake
  • Experience with source-control platforms
  • Experience with related tooling

Responsibilities

  • Building and improving reusable infrastructure, deployment patterns, automation, and operational capabilities for machine learning models and advanced analytics workflows.
  • Creating reusable tooling and self-service patterns.
  • Reducing manual operational work.
  • Improving the developer experience.
  • Ensuring data science solutions can be deployed and evolved consistently across Azure, Snowflake, source-control platforms, and related tooling.
  • Focusing on production enablement and platform engineering.
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