Browse categories
Explore
Fiverr Pro
English
$
USD
I will dockerize your ml or llm application with fastapi endpoint
MLOps Engineer
I'm an MLOps Engineer with 4+ years of experience building production-ready ML systems on AWS and Azure. I specialize in ML Pipelines, Deployment, CI/CD, Monitoring, and LLM Ops. I deliver production-...
About this Gig
I'll containerize your ML model or LLM application with Docker and create a production-ready FastAPI endpoint.
Before you can deploy any ML model to production, it needs to be containerized. I'll take your Python code and turn it into a production-ready Docker image with a clean REST API.
I'm an MLOps Engineer with 4+ years of experience deploying ML systems. I've built pipelines processing 2TB/day and deployed LLM applications serving thousands of users.
What I Deliver
Docker Image
- Optimized multi-stage Dockerfile for minimal image size
- Proper dependency management (requirements.txt or pyproject.toml)
- Production-ready configuration
FastAPI REST API
- Clean, documented endpoints
- Health check endpoint (/health)
- Input validation with Pydantic models
- Proper error handling
- Async support for high concurrency
Local Testing Setup
- docker-compose file for easy local testing
- Sample API requests (curl commands)
- Environment variables configuration
Documentation
- How to build and run the container
- API endpoint documentation with examples
- Configuration guide for environment variables
Tech Stack
ComponentTechnologyContainerizationDockerAPI FrameworkFastAPI (Python)Web ServerGunicorn + Uvicorn
Tools:
Kubernetes
•
Docker
•
Amazon EKS
Frameworks:
Terraform
•
Ansible
Cloud Provider:
Amazon Web Services
•
Microsoft Azure
Programming language:
Bash
•
Python
Expertise:
Debugging
•
Development
•
Configuration
Other DevOps Engineering Services I Offer
FAQ
Q: What if my model is in a Jupyter notebook?
A: I can convert your notebook to a Python script and then containerize it. Just share the notebook.
Q: Do I need to provide my model file?
A: Yes — I'll need your trained model file (.pkl, .joblib, .pt, .h5) or access to your code repository.
Q: Can you work with TensorFlow/PyTorch models?
A: Yes — I can containerize any Python-based ML framework.
Q: What if I don't have a trained model yet?
A: This gig is for containerization only. If you need help with model training, message me and we can discuss a custom scope.
Q: Will the API be fast?
A: Yes — I use FastAPI with Gunicorn + Uvicorn for production-grade performance. For Premium package, I can add load testing to validate performance.
Q: Do you offer Kubernetes deployment after this?
A: Yes — I have a separate gig for Kubernetes deployment. Message me for a bundle discount.
