Sterling Engineering
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Machine Learning Engineer
role at
Sterling Engineering
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
Email: cgoodwin@sterling-engineering.com
#J-18808-Ljbffr
Machine Learning Engineer
role at
Sterling Engineering
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
Email: cgoodwin@sterling-engineering.com
#J-18808-Ljbffr