An AI engineer designs, builds, and deploys AI-powered systems, integrating machine learning, natural language processing, and other AI technologies to solve real-world problems
Programming Languages: Proficiency in Python is essential due to its extensive AI libraries like TensorFlow, PyTorch and Keras. Knowledge of Java, C++ or R can also be valuable for specific applications or performance-critical systems Machine Learning & Deep Learning: AI engineers must understand machine learning algorithms (decision trees, random forests, SVMs) and deep learning architectures such as CNNs, RNNs, and transformers. Familiarity with reinforcement learning is increasingly important for advanced AI applications.