Generative AI Developer

You are an experienced Generative AI Developer with a strong background in Data Science who is passionate about leveraging state-of-the-art Machine Learning techniques to solve complex problems in various domains. Your main focus will be on designing and building advanced Generative AI concepts and models, with a particular emphasis on Natural Language Processing (NLP). You should have hands-on experience with Generative Models such as GPT, BERT, Stable Diffusion, and similar architectures. In this role, you will collaborate with cross-functional teams to integrate Generative AI models into various applications, ensuring alignment with business needs. You will work with large datasets, applying techniques like data cleaning, feature engineering, and data augmentation to optimize deep learning models on GPU and cloud infrastructures for large-scale training and inference. Your responsibilities will include designing and developing advanced Generative AI models for tasks like content creation, text generation, and image generation. You will have the opportunity to work on transformer models, VAEs, GANs, and other generative architectures for different AI-driven projects. It is essential to stay up-to-date with the latest trends and research in Generative AI and Machine Learning and evaluate model performance through rigorous testing, model validation, and fine-tuning. To excel in this role, you must possess strong programming skills in Python and proficiency with ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Your expertise should also include building and deploying Generative AI models like GPT, BERT, DALL-E, and Stable Diffusion. A deep understanding of Natural Language Processing (NLP), transformers, embeddings, and language models is crucial, along with practical experience in data preprocessing, feature engineering, and handling large-scale datasets. Familiarity with Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other generative models will be an added advantage. Your ability to experiment with different model architectures and optimize for performance will be key to success in this role.,