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, problem-solving, and communication skills.
