Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or related field.

Minimum 4-8 years of experience in Data Science, Machine Learning, or AI projects.

Strong proficiency in Python programming.

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, and Keras.

Good understanding of statistical analysis, predictive modeling, and data visualization techniques.

Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

Knowledge of cloud-based AI/ML services and model deployment.

Familiarity with SQL and database technologies.

Experience with data preprocessing, ETL pipelines, and big data technologies is an advantage.

Understanding of MLOps, CI/CD pipelines, and containerization tools like Docker/Kubernetes is preferred.

Strong analytical, pro...