I will deploy ml models with fastapi and docker
Turning AI Into Real Business Automation
About this Gig
Your model works in a notebook. It needs to work in production.
I turn your trained ML model into a documented REST API containerised with Docker and deployed to the cloud, so your app or your team can call it and get a prediction back.
WHAT YOU GET
FastAPI REST endpoint for your model
Dockerfile that runs anywhere
Swagger API documentation
Cloud deployment (AWS, GCP or Azure)
Clean Python code and a short README
WORKS WITH
Scikit-learn, PyTorch, TensorFlow, Keras, XGBoost. Send me the model file and I'll confirm the fit before you order.
HOW IT WORKS
- Tell me your framework, the model file and where you want it hosted.
- I wrap it in FastAPI, containerise it and test the endpoint.
- You get a live URL, the repo, and instructions to redeploy it yourself.
I deploy models I don't train them from scratch in this gig. Need training or fine-tuning? Add the extra or message me first.
Message me before ordering so I can check your model runs.
Programming language:
Python
•
SQL
•
MLflow
•
Amazon SageMaker
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Other
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda
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Other
APIs:
Other
Tools:
TensorFlow
•
MLflow
•
Amazon SageMaker
•
Other

