Cloud Bridge Solutions
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key skills include Python, ML frameworks (TensorFlow, PyTorch), and cloud platforms (AWS/Azure/GCP). Requires 5-10 years of experience and a degree in a related field.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
North Carolina, United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Documentation #GCP (Google Cloud Platform) #ML (Machine Learning) #Computer Science #Data Pipeline #Statistics #Datasets #Data Science #Scala #TensorFlow #Microservices #PyTorch #Cloud #Programming #Azure #AWS (Amazon Web Services) #Python
Role description
Overview
We are seeking a talented Machine Learning Engineer to design, build, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate has strong programming skills, hands-on experience with ML frameworks, and a passion for solving real-world problems using data.
Key Responsibilities
• Design, develop, and deploy machine learning models for production use
• Build and maintain scalable data pipelines and feature engineering workflows
• Train, evaluate, and optimize models using large datasets
• Collaborate with cross-functional teams to integrate ML solutions into applications
• Monitor model performance and implement improvements over time
• Ensure code quality, testing, and documentation for ML systems
Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
• 5-10 years of experience in machine learning or data science
• Strong programming skills in Python
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of algorithms, statistics, and data structures
• Experience with APIs, microservices, or cloud platforms (AWS/Azure/GCP)
Overview
We are seeking a talented Machine Learning Engineer to design, build, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate has strong programming skills, hands-on experience with ML frameworks, and a passion for solving real-world problems using data.
Key Responsibilities
• Design, develop, and deploy machine learning models for production use
• Build and maintain scalable data pipelines and feature engineering workflows
• Train, evaluate, and optimize models using large datasets
• Collaborate with cross-functional teams to integrate ML solutions into applications
• Monitor model performance and implement improvements over time
• Ensure code quality, testing, and documentation for ML systems
Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
• 5-10 years of experience in machine learning or data science
• Strong programming skills in Python
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of algorithms, statistics, and data structures
• Experience with APIs, microservices, or cloud platforms (AWS/Azure/GCP)
