AI/ML Engineer

A Generative AI Engineer is a specialized professional who designs, develops, and manages artificial intelligence (AI) systems capable of autonomously generating content, such as text, images, and music. These engineers leverage deep learning and machine learning techniques to train AI models on large datasets, enabling them to create new, original content that mimics human-like creativity.

Here are the key skills to look for in a Generative AI Engineer: 
Advanced Programming Knowledge Proficiency in programming languages such as Python.Familiarity with AI-centric libraries like TensorFlow, PyTorch, and Keras. Ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Generative Models Expertise Experience with generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) Capability to design, train, and optimize these models to generate high-quality, creative content Natural Language Processing (NLP) Knowledge of NLP techniques for text generation projects Familiarity with text parsing, sentiment analysis, and the use of transformers like GPT (Generative Pre-trained Transformer) models Data Management Skills Proficiency in data pre-processing, augmentation, and synthetic data generation