Machine Learning, Python

Key Responsibilities :

• Design, build, and deploy machine learning models for classification, regression, clustering, recommendation, or NLP use cases.
• Develop and maintain data pipelines and feature engineering workflows using Python and associated libraries.
• Use frameworks such as scikit-learn , TensorFlow , PyTorch , or XGBoost to build and train models.
• Conduct model validation , hyperparameter tuning, and performance evaluation (accuracy, recall, F1, ROC, etc.).
• Collaborate with data engineers to handle large datasets using tools like Pandas , NumPy , SQL , and Spark .
• Deploy models to production using APIs , containers (Docker) , or cloud platforms (AWS / GCP / Azure).
• Monitor, maintain, and retrain models as needed to ensure reliability and accuracy.
• Document your research, code, and experiments clearly and reproducibly.

Mandatory Skills :

Skills Required

Pandas, Numpy, Matplotlib, Sql