Python Developer with AI- NO C2C
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with AI expertise in San Jose, CA, offering a long-term contract. Key requirements include proficiency in Python, AI/ML frameworks, data handling libraries, model deployment tools, and cloud platforms. A degree in a related field is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 15, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Corp-to-Corp (C2C)
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#PyTorch #Python #NLP (Natural Language Processing) #GIT #ML (Machine Learning) #AWS (Amazon Web Services) #Cloud #TensorFlow #Kubernetes #MLflow #Hugging Face #Deployment #AI (Artificial Intelligence) #Libraries #Model Deployment #Data Science #Pandas #Computer Science #Flask #Docker #NumPy #FastAPI #Version Control #GCP (Google Cloud Platform) #Azure
Role description
Python Developer with AI
Location: San Jose,CA
Duration: Long Term
Job Description:
• • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• Strong proficiency in Python with knowledge of best coding practices.
• Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc.
• Solid understanding of data structures, algorithms, and OOP principles.
• Proficiency in working with data handling libraries (NumPy, Pandas, Dask).
• Experience with model deployment tools (FastAPI, Flask, Docker, Kubernetes, MLflow).
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
• Strong understanding of NLP, computer vision, or predictive analytics (at least one domain).
• Familiarity with version control (Git) and CI/CD pipelines.
Python Developer with AI
Location: San Jose,CA
Duration: Long Term
Job Description:
• • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• Strong proficiency in Python with knowledge of best coding practices.
• Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc.
• Solid understanding of data structures, algorithms, and OOP principles.
• Proficiency in working with data handling libraries (NumPy, Pandas, Dask).
• Experience with model deployment tools (FastAPI, Flask, Docker, Kubernetes, MLflow).
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
• Strong understanding of NLP, computer vision, or predictive analytics (at least one domain).
• Familiarity with version control (Git) and CI/CD pipelines.
