We are seeking a highly qualified and motivated instructor to teach courses in Software Engineering. The professional will be responsible for training students and professionals who wish to deepen their knowledge in Artificial Intelligence and Machine Learning, preparing them to face the challenges of the rapidly evolving technology market. **Responsibilities:** Plan, prepare, and deliver theoretical and practical classes on artificial neural networks, deep learning, advanced architectures, and their applications. Develop innovative pedagogical content, including reading materials, case studies, hands-on exercises, and laboratory projects. Supervise students in academic projects, applied research, and capstone theses, encouraging innovation and critical thinking. Assess student performance, providing detailed feedback and fostering continuous improvement. Collaborate with other faculty members and research teams on interdisciplinary projects. Stay up-to-date with trends and advances in AI, deep learning, computer vision, NLP, and other emerging technologies. **Requirements:** Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related fields; postgraduate education or equivalent experience in AI is highly desirable. Proven experience in developing and implementing neural networks (MLP, CNN, RNN, LSTM, Transformers, GANs, etc.). Proficiency in programming languages such as Python and deep learning frameworks (TensorFlow, PyTorch, Keras). Ability to clearly and effectively convey complex concepts. Excellent communication, organizational, and academic mentoring skills. **Preferred Qualifications:** Experience in academic research, scientific publications, or participation in AI conferences. Experience in hybrid or online teaching using active learning methodologies. Knowledge of applied projects in NLP, computer vision, robotics, or autonomous systems. Involvement in innovation projects, startups, or technology industry applications in AI.