Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with strong proficiency in Python and experience in machine learning workflows, preferably using Microsoft Azure tools. Key skills include SQL, data modeling, and knowledge of cloud-based MLOps practices. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Snoqualmie, WA
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🧠 - Skills detailed
#ADF (Azure Data Factory) #Kubernetes #Pandas #Docker #TensorFlow #Deployment #FastAPI #Synapse #Azure Data Factory #Python #SQL (Structured Query Language) #Deep Learning #Azure #ML (Machine Learning) #AI (Artificial Intelligence) #Flask #NumPy #PyTorch #Cloud
Role description
Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask).
• Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack – Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML tools.
• Knowledge of cloud-based MLOps practices.
• Strong SQL and data modelling skills.
• Experience with deep learning frameworks (PyTorch, TensorFlow) is nice to have.
• Knowledge of containerization (Docker, Kubernetes) is nice to have.
Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask).
• Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack – Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML tools.
• Knowledge of cloud-based MLOps practices.
• Strong SQL and data modelling skills.
• Experience with deep learning frameworks (PyTorch, TensorFlow) is nice to have.
• Knowledge of containerization (Docker, Kubernetes) is nice to have.
