ML Platform & MLOps Engineer (Databricks)

Insight Global (United States); Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Insight Global is seeking a Machine Learning (ML) Developer in Dallas, TX to establish development practices and platform foundations that move models from experimentation into production. You will work primarily within the Databricks ecosystem to define how models are built, tracked, deployed, and monitored.

You will collaborate with data science and engineering teams to ensure objectives are met, implement MLOps workflows, and promote governance through tools like Unity Catalog and MLflow.

Qualifications

• Bachelor’s degree in CS, DS, Engineering or related field.
• 3–5 years of hands-on ML in production environments.
• Strong Python and tested production code discipline.
• MLflow, AutoML, and MLOps workflow experience.

Responsibilities

• Establish ML development practices, standards, and platform foundations.
• Define model build, tracking, deployment, and monitoring processes.
• Collaborate with data science and engineering teams to meet objectives.

Skills

Python

SQL

Databricks

MLflow

AutoML

MLOps

CI/CD

Git

Spark

Communication

Teamwork

Model governance

Education

Bachelor’s Degree in CS/DS/Engineering

Master’s Degree in related field

Tools

Databricks

Spark

Unity Catalog

Git

CI/CD pipelines

Job description

Insight Global is seeking a Machine Learning (ML) Developer in Dallas, TX to establish development practices and platform foundations that move models from experimentation into production. You will work primarily within the Databricks ecosystem to define how models are built, tracked, deployed, and monitored.

You will collaborate with data science and engineering teams to ensure objectives are met, implement MLOps workflows, and promote governance through tools like Unity Catalog and MLflow.