Senior ML Engineer - Productionized ML Pipelines & Cloud

Robotics Technologies; Fort Worth (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Robotics Technologies LLC in Fort Worth, TX is seeking a Senior Machine Learning Engineer/Data Scientist to advance ML models from prototype to production. You will tackle production-grade Python code, build scalable ML pipelines, and optimize performance across cloud or Databricks environments.

The ideal candidate brings 5+ years of experience, strong Python skills, and a solid ML lifecycle understanding to drive customer intelligence initiatives and cross-functional collaboration.

Qualifications

• Master’s or PhD in Data Science, CS, Statistics, Applied Mathematics, ML, or related field.
• At least 5+ years of relevant professional experience.
• Strong hands-on experience with Python programming.
• Experience writing modular, testable, production-grade code.
• Practical experience with data extraction, cleaning, transformation, and analysis.
• Strong understanding of statistical and machine learning techniques.
• Hands-on experience developing and productionizing ML pipelines.

Responsibilities

• Develop, refactor, test, and optimize production-quality Python code for ML applications.
• Design, build, deploy, and maintain ML models and pipelines.
• Productionize ML workflows including deployment, orchestration, monitoring, and troubleshooting.
• Extract, clean, transform, and analyze large datasets to support business intelligence initiatives.
• Apply statistical methods and feature engineering to improve model performance.
• Collaborate with data scientists, data engineers, and stakeholders to deliver scalable ML solutions.

Skills

Python programming

ML lifecycle

Data analysis

Production-grade coding

Cloud deployment

Education

Master's or PhD in Data Science/CS/Statistics/Applied Math/ML

Tools

Databricks

Spark

MLflow

CI/CD

Model monitoring

Azure

SQL

Tableau

Power BI

Job description

Robotics Technologies LLC in Fort Worth, TX is seeking a Senior Machine Learning Engineer/Data Scientist to advance ML models from prototype to production. You will tackle production-grade Python code, build scalable ML pipelines, and optimize performance across cloud or Databricks environments.

The ideal candidate brings 5+ years of experience, strong Python skills, and a solid ML lifecycle understanding to drive customer intelligence initiatives and cross-functional collaboration.