- Strong experience in Machine Learning algorithms and model development.
- Hands-on experience with the AWS Stack (e.g., SageMaker, S3, EC2, Lambda, or related AWS AI/ML services).
- Positive understanding of Regression Models and predictive analytics.
- Experience with Python and ML libraries such as Scikit-learn, Pandas, NumPy, or similar.
- Knowledge of data preprocessing, feature engineering, model training, and deployment.
- Familiarity with SQL and working with structured/unstructured datasets is preferred.