AI Big Data & Model Engineering

Design, development, and deployment of large-scale AI systems.

  • Data preparation: Consideration of factors such as data quality, data size, and data distribution.
  • AI Model development: Careful selection of algorithms, hyperparameters, and training data.
  • AI Model deployment: Consideration of factors such as model performance, model scalability, and model security.