Generative AI Developer

Role Overview: You are an experienced Generative AI Developer with a strong background in Data Science, passionate about leveraging state-of-the-art Machine Learning techniques to solve complex problems in various domains. Your main focus is on designing and building advanced Generative AI concepts and models, with a particular emphasis on Natural Language Processing (NLP). You have hands-on experience with Generative Models such as GPT, BERT, Stable Diffusion, and similar architectures. Key Responsibilities: - Collaborate with cross-functional teams to integrate Generative AI models into various applications, ensuring alignment with business needs. - 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. - Design and develop advanced Generative AI models for tasks like content creation, text generation, and image generation. - Work on transformer models, VAEs, GANs, and other generative architectures for different AI-driven projects. - Stay up-to-date with the latest trends and research in Generative AI and Machine Learning. - Evaluate model performance through rigorous testing, model validation, and fine-tuning. Qualifications Required: - Strong programming skills in Python and proficiency with ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. - Expertise in building and deploying Generative AI models like GPT, BERT, DALL-E, and Stable Diffusion. - Deep understanding of Natural Language Processing (NLP), transformers, embeddings, and language models. - 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. - Ability to experiment with different model architectures and optimize for performance will be key to success in this role.,