Senior ML Engineer - Production ML Pipelines (Databricks)

MACHINE LEARNING TECHNOLOGIES LLC; Fort Worth (TX); On-site; USD 90,000 - 128,000; Full time

Job summary

Machine Learning Technologies LLC in Fort Worth seeks a senior Data Scientist/ML Engineer to move models from prototype to production and to build scalable ML solutions for customer intelligence initiatives. A strong Python background and end-to-end ML lifecycle experience are essential.

You will deploy and monitor models in cloud or Databricks environments, working with data engineers to optimize performance and enable analytics across multiple business units.

Qualifications

• Master’s or PhD in a quantitative field.
• 5+ years of relevant professional experience.
• Strong Python programming.
• Production-grade code experience.
• Experience deploying ML models.

Responsibilities

• Develop and productionize ML models and pipelines.
• Refactor and optimize production-quality Python code.
• Deploy, monitor, and troubleshoot ML workflows in cloud/Databricks.
• Analyze large datasets to support BI initiatives.
• Collaborate with data scientists and engineers to scale solutions.

Skills

Python programming

Production-grade code

ML lifecycle

Data extraction

Statistics

Model deployment

Cloud environments

Databricks

Spark

Model monitoring

Education

Master's or PhD in Data Science/CS/Stats

Tools

Databricks

Spark

MLflow

CI/CD

Tableau

Power BI

Azure

Job description

Machine Learning Technologies LLC in Fort Worth seeks a senior Data Scientist/ML Engineer to move models from prototype to production and to build scalable ML solutions for customer intelligence initiatives. A strong Python background and end-to-end ML lifecycle experience are essential.

You will deploy and monitor models in cloud or Databricks environments, working with data engineers to optimize performance and enable analytics across multiple business units.