I will build ci cd pipelines for machine learning and ai projects
AI Engineer Building AI Agents RAG Systems FastAPI APIs and Flutter Apps
About this Gig
Need to automate, deploy, or manage your machine learning application?
I will build a reliable CI/CD and MLOps pipeline for your Python, AI, or machine learning project using Docker, GitHub Actions, cloud services and modern DevOps practices.
I can help with:
CI/CD pipeline setup
Machine learning model deployment
Docker containerization
GitHub Actions automation
AWS cloud deployment
FastAPI deployment
Automated testing and builds
MLflow integration
Environment configuration
Production deployment
Monitoring and logging
Whether you need to deploy an ML model, automate your workflow, or create a production-ready MLOps pipeline, I will build a solution tailored to your project.
Message me before ordering to discuss your requirements.
Tools:
Docker
•
GitLab
•
Jenkins
•
GitHub
•
Hashicorp Vault
Frameworks:
Npm
•
Puppet
•
Other
Programming language:
Python
Expertise:
Installation
•
Development
•
Configuration
My Portfolio
FAQ
What type of projects can you deploy?
I can work with Python, machine learning, AI, FastAPI and other compatible applications.
Can you create a CI/CD pipeline for my ML project?
Yes. I can set up automated testing, building and deployment using tools such as GitHub Actions and Docker.
Can you deploy my ML model to AWS?
Yes. AWS deployment is available depending on your project and selected package.
Do you provide Docker setup?
Yes. I can containerize your application and configure it for deployment.
Can you integrate MLflow?
Yes. MLflow can be added for experiment tracking and model management.
Can you deploy a FastAPI ML API?
Yes. I can containerize and deploy your FastAPI-based machine learning API.
Do you provide source code?
Yes. Source code is included with the packages
Can you work with my existing project?
Yes. I can integrate CI/CD and deployment workflows into your existing Python, AI or ML project.
What do you need to get started?
Please provide your project source code, Git repository, deployment requirements and any preferred cloud or CI/CD tools.
