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Machine Learning Engineer - AI (Remote)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Machine Learning Engineer - AI (Remote) contract position, offering $30 - $160/hour. Key skills required include Python, TensorFlow/PyTorch, cloud platforms (AWS, GCP, Azure), and MLOps experience. Strong problem-solving skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
160
-
🗓️ - Date
June 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#ML (Machine Learning) #GCP (Google Cloud Platform) #Model Deployment #Data Engineering #PyTorch #Data Quality #Python #Data Governance #AWS (Amazon Web Services) #Cloud #Deployment #Model Evaluation #Security #Compliance #Azure #AI (Artificial Intelligence) #TensorFlow #Scala
Role description
• Role: Machine Learning Engineer - AI (Remote)
• Location: Remote (Work from Anywhere)
• Job Type: Contract
• Payout: $30 - $160/hour
Role Overview:
We are hiring for one of our clients, seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. The role involves developing scalable machine learning pipelines and collaborating with cross-functional teams to integrate models into production systems. Responsibilities include optimizing model performance, ensuring data quality, and maintaining model governance.
Key Responsibilities:
• Design, train, and deploy machine learning models to solve complex business problems.
• Develop and maintain scalable ML pipelines for end-to-end model lifecycle management.
• Collaborate with data engineers and software developers to integrate models into production systems.
• Monitor model performance, troubleshoot issues, and implement improvements.
• Ensure compliance with data governance and security standards in model development.
Required Skills & Qualifications:
• Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) for ML deployment.
• Familiarity with MLOps practices and CI/CD pipelines for model deployment.
• Strong problem-solving skills and ability to work in a fast-paced environment.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to cutting-edge AI solutions that enhance operational efficiency. The contract includes flexibility to work across time zones and access to advanced tools for model development.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!
• Role: Machine Learning Engineer - AI (Remote)
• Location: Remote (Work from Anywhere)
• Job Type: Contract
• Payout: $30 - $160/hour
Role Overview:
We are hiring for one of our clients, seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. The role involves developing scalable machine learning pipelines and collaborating with cross-functional teams to integrate models into production systems. Responsibilities include optimizing model performance, ensuring data quality, and maintaining model governance.
Key Responsibilities:
• Design, train, and deploy machine learning models to solve complex business problems.
• Develop and maintain scalable ML pipelines for end-to-end model lifecycle management.
• Collaborate with data engineers and software developers to integrate models into production systems.
• Monitor model performance, troubleshoot issues, and implement improvements.
• Ensure compliance with data governance and security standards in model development.
Required Skills & Qualifications:
• Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) for ML deployment.
• Familiarity with MLOps practices and CI/CD pipelines for model deployment.
• Strong problem-solving skills and ability to work in a fast-paced environment.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to cutting-edge AI solutions that enhance operational efficiency. The contract includes flexibility to work across time zones and access to advanced tools for model development.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!




