Docente TP Maestría en Ciencia de Datos e IA (Curso: Deep Learning)

We are looking for a part-time Professor to teach the Deep Learning course at the University of Engineering and Technology UTEC Graduate Studies. The successful candidate will design, prepare, and update class materials, evaluate student performance, and guide students in the development of models and Deep Learning pipelines.

Requirements

• Deep Learning fundamentals: neural networks, backpropagation, activation functions, normalization, and optimization.
• Advanced architectures: CNN, RNN, LSTM, Transformers, Autoencoders, and GANs.
• Frameworks and libraries: TensorFlow, PyTorch, Keras, and others.
• Data processing: preprocessing techniques, and handling large datasets.
• Training and deployment: experience in distributed training, hyperparameter tuning, model evaluation, and deployment in production (MLOps).
• Accelerated computing: use of GPU/TPU and cloud environments (AWS, GCP, Azure) for model training.

Benefits

• Market-adjusted salary
• Discounts at over 200 establishments
• Opportunity to learn and get involved in various UTEC projects