Master s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Strong proficiency in Python programming and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience with deep learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
Solid understanding of statistical analysis, data mining, and data visualization.
Knowledge of cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
Excellent problem-solving, critical thinking, and communication skills.
Passion for AI and a desire to push the boundaries of innovation.
