Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras.Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques.Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps.Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications.Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.