looking for classification model to identify spam or non spam

Project Description: I am looking for a skilled data scientist or machine learning engineer to develop a classification model that can accurately identify spam or non-spam emails for my existing business. The ideal candidate should have experience in developing classification models and a deep understanding of machine learning algorithms. Requirements: - Develop a classification model specifically designed for email classification - Achieve an accuracy level above 99% in classifying emails as spam or non-spam - Use a combination of feature engineering, data preprocessing, and machine learning algorithms to train the model - Implement techniques such as text mining, natural language processing, and pattern recognition to improve the model's accuracy - Ensure the model is scalable and can handle a large volume of incoming emails - Provide documentation and instructions on how to deploy and maintain the model Skills and Experience: - Strong background in machine learning, data science, or a related field - Proficiency in programming languages such as Python or R - Experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch - Knowledge of text mining techniques and natural language processing - Familiarity with feature engineering and data preprocessing techniques - Ability to optimize and fine-tune machine learning models for high accuracy - Excellent problem-solving skills