Fusion IT
Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key skills include Python, ML frameworks (TensorFlow/PyTorch/Scikit-learn), and experience in deploying ML models. Familiarity with cloud platforms (AWS/Azure/GCP) is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 19, 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
Austin, TX
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🧠 - Skills detailed
#Model Evaluation #AWS (Amazon Web Services) #ML (Machine Learning) #Scala #Python #PyTorch #Deployment #GCP (Google Cloud Platform) #Data Pipeline #Azure #Cloud #TensorFlow #AI (Artificial Intelligence)
Role description
We are looking for a Senior Machine Learning Engineer to design, build, and deploy scalable ML models and data-driven solutions. The role involves working on model development, feature engineering, production deployment, and collaborating with data and engineering teams to deliver AI-powered products.
Key Skills:
• Strong experience in Python, ML frameworks (TensorFlow/PyTorch/Scikit-learn)
• Experience building and deploying ML models in production
• Knowledge of data pipelines, feature engineering, and model evaluation
• Exposure to cloud platforms (AWS/Azure/GCP) and MLOps tools
We are looking for a Senior Machine Learning Engineer to design, build, and deploy scalable ML models and data-driven solutions. The role involves working on model development, feature engineering, production deployment, and collaborating with data and engineering teams to deliver AI-powered products.
Key Skills:
• Strong experience in Python, ML frameworks (TensorFlow/PyTorch/Scikit-learn)
• Experience building and deploying ML models in production
• Knowledge of data pipelines, feature engineering, and model evaluation
• Exposure to cloud platforms (AWS/Azure/GCP) and MLOps tools
