I need an experienced AI engineer to research, design, and implement a production-ready text-classification model. The full pipeline—data preparation, model architecture selection, training, evaluation, and deployment—must run smoothly on my Linux server. Key goals • Analyse my data and recommend the most suitable approach (traditional ML vs. transformer-based). • Build, train, and fine-tune the model for high accuracy and stable recall/F1. • Package the final model with clear Python scripts or notebooks, requirements.txt, and step-by-step setup instructions. • Provide concise documentation covering data preprocessing, hyperparameters, inference calls, and retraining procedures. I would like the work completed within a month. Familiarity with common frameworks such as PyTorch or TensorFlow, along with solid bash/Linux skills, is essential. If you’ve shipped text classification models before and are comfortable iterating quickly, let’s talk.