Machine Learning Engineer II

Machine Learning Engineer

Location: Fort Worth, TX

Position Summary

We are seeking a Machine Learning Engineer to support the analysis and optimization of engines and mechanical equipment through advanced data modeling and analytics. This role focuses on developing, deploying, and supporting data-driven solutions that improve performance, reliability, and issue resolution

Key Responsibilities

• Process, cleanse, and verify the integrity of large datasets used in the analysis of engines and mechanical equipment
• Develop, transform, and deploy data-driven and machine learning solutions
• Perform data analysis to support resolution of field-reported issues
• Build and maintain analytics pipelines using Python and cloud-based tools
• Apply optimization and modeling techniques, including Bayesian optimization and gradient-based algorithms
• Collaborate with engineering and field teams to translate data insights into actionable outcomes
  
  

Technical Skills & Tools

• Python (including pandas, numpy, scipy, plotly)
• AWS services such as SageMaker and S3
• Redis, Git
• QGIS
• Machine learning and optimization techniques (Bayesian optimization, Adam algorithm)
  
  

Qualifications

• Master’s degree in Aerospace Engineering, Mechanical Engineering, or a related/equivalent field
• Strong background in data analysis and machine learning applications for engineering systems
• Permanent U.S. work authorization required
  
  

How to Apply

Please submit resumes to:

Sterling Engineering, Inc.

Two Westbrook Corporate Center, Suite 300

Westchester, IL 60154

• cgoodwin@sterling-engineering.com