Sterling Engineering
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in Fort Worth, TX, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, AWS, and machine learning techniques. A Master's in Aerospace or Mechanical Engineering is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
December 21, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Fort Worth, TX
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🧠 - Skills detailed
#NumPy #GIT #Plotly #Python #ADaM (Analysis Data Model) #S3 (Amazon Simple Storage Service) #SageMaker #SciPy #AWS (Amazon Web Services) #Redis #Data Analysis #Data Modeling #"ETL (Extract #Transform #Load)" #Cloud #ML (Machine Learning) #Pandas #Datasets
Role description
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
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
