Developing and applying machine learning models for Classifications Problems

I'm seeking a python skilled Machine Learning and Deep Learning expert to develop and implementing a machine learning models to resolve two classification problems. It involves two different datasets to work on, using jupyter Notebook environments.

Key Requirements:
- Utilize both Random Forest and Convolutional Neural Networks (CNNs) for classification.
- Work with a provided labelled dataset for training and testing the models.
- Implement a multi-label classification approach to handle the mixed nature of the digit images.
- Ensure high accuracy and efficiency in the classification process.

Ideal Skills and Experience:
- Strong expertise in machine learning and image classification.
- Proficiency in using Random Forest and CNNs for classification tasks.
- Experience with multi-label classification problems.
-Familiarise with visualisation and fine-tuning.
-Able to find the best model (for classification) and CNN architecture (for digit recognition)
- Familiarity with handling and processing mixed datasets of handwritten and printed digits.
- Ability to optimize models for performance and accuracy.

I'm looking forward to collaborating with a professional who can deliver a robust and efficient classification system for this project.