Generative AI Engineer

Programming Fundamentals: Proficiency in programming languages commonly used in AI, such as Python, FastAPI.

AI/ML Libraries: Familiarity with basic libraries and tools like scikit-learn, Pandas, and NumPy.

API Usage: Know-how to integrate pre-trained AI models via APIs, e.g., cloud-based AI services.

Data Management: Skills in collecting, preprocessing, and handling datasets.

Understanding of AI Concepts: Familiarity with concepts like machine learning, supervised and unsupervised learning, and foundational algorithms.