AI/ML/ DL Developer for Research Project

I am looking for an experienced AI/ML developer to build and evaluate machine learning models for a research-based project.

Project Requirements:

1. Build and train machine learning models using Python.

2. Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).

3. Implement and compare multiple models such as:

* Logistic Regression
* Random Forest
* Support Vector Machine
* XGBoost
* Deep Learning models (CNN/LSTM if required)

4. Evaluate models using performance metrics such as:

* Accuracy
* Precision
* Recall
* F1-score
* Confusion Matrix
* ROC-AUC

5. Provide clear Python code using libraries such as:

* NumPy
* Pandas
* Scikit-learn
* TensorFlow or PyTorch
* Matplotlib / Seaborn

6. (Optional but preferred) Implement Explainable AI techniques such as SHAP or LIME for model interpretation.

Deliverables:

* Well-documented Python code
* Model comparison results
* Evaluation metrics and visualizations
* Brief explanation of methodology

This project is intended for research purposes, so clean code and proper documentation are important.

Please include examples of similar AI/ML work in your proposal.