CI/CD Process for Model Retraining

Job ID: 38122593

Budget: £10 – £40 GBP

I need a detailed guide on how to integrate a CI/CD process into our codebase to automatically retrain a machine learning model when new data comes in. The goal is to have a streamlined, automated process that can be set up within 2-3 days.

Key requirements and expectations for the project include:

- Guide on setting up CI/CD pipeline: The main focus is to utilize Docker and HuggingFace space for CI/CD implementation. I need a clear step-by-step explanation, with code snippets, of how to set up this pipeline.
- Code Snippet for Retraining: The most critical part of the project is to provide a Python code snippet that will retrain the model when new data is introduced.
- No model training: It's important to note that I am not asking for the training of a new model. The aim here is to automate the retraining process when new data is available.

Ideal skills and experience for this job include:

- Proficiency in Python: The code snippet should be in Python. Experience with machine learning libraries like TensorFlow, Keras, or Scikit-learn would be advantageous.
- CI/CD Tool Knowledge: Familiarity with Docker and HuggingFace space or relevant experience with Jenkins, GitLab CI, or GitHub Actions.
- Previous experience with CI/CD and ML: Having a background in setting up CI/CD processes for machine learning projects would be beneficial.

The project is on a tight timeline, so prompt delivery is essential. Your guidance and expertise will be greatly appreciated.

**THE MODEL IS ALREADY DEPLOYED ON HUGGINGFACE**