I will deploy machine learning models with docker, fastapi and mlops
Senior Full Stack Developer and Data Scientist
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Do you have a machine learning or deep learning model but need to deploy it as a real application or API?
I will help you turn your trained ML model into a working, clean, and deployable system using FastAPI, Docker, Python, and MLOps best practices.
I can help with:
- ML model deployment
- FastAPI inference APIs
- Dockerizing ML applications
- Model loading and prediction endpoints
- API testing scripts
- Clean folder structure
- Requirements and environment setup
- Deployment guidance for VPS, AWS, or cloud platforms
- Basic monitoring/logging setup
- Documentation for running and using the API
Supported models:
- Scikit-learn
- PyTorch
- TensorFlow/Keras
- XGBoost
- Hugging Face models
- Custom Python ML models
Please message me before ordering so I can review your model file and deployment needs.
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Can you deploy my existing model?
Yes, send the model file and code. I can package it into an API.
Do you use Docker?
Yes, Docker is included in Standard and Premium packages.
Can you deploy on AWS or VPS?
I can provide deployment guidance, and full setup can be included depending on scope.
Which API framework do you use?
Mostly FastAPI because it is fast, clean, and great for ML inference.
Do you train models too?
This gig is mainly for deployment. Training can be added as a custom offer.

