Python Predictive Model Development

I need an experienced AI/ML engineer to design, train, and validate a predictive model in Python. All of my data lives in CSV / Excel files, so the first step will be cleaning, transforming, and loading those structured datasets into an efficient pipeline. From there you’ll choose the most appropriate algorithms, iterate on feature engineering, and fine-tune the model until we reach an agreed-upon accuracy threshold.

You should be fully comfortable with scikit-learn and pandas for data handling, and able to switch to TensorFlow or PyTorch if deep learning ends up adding value. Packaging the final model behind a lightweight API or another deployable artifact—so it can slot into our existing workflow—will be part of the scope.

Deliverables:
• Reproducible Python code (notebooks or modules)
• Trained model file and versioned training script
• Brief report explaining methodology, key metrics, and how to run/integrate the solution

If you have solid cloud experience (AWS, GCP, or Azure) that’s a bonus, but the main focus is building a robust predictive model from my spreadsheet data. Looking forward to seeing how you can turn these rows and columns into actionable insights.