Key skills needed: Model Development: Designing, implementing, and fine-tuning generative models . Experience in building LLM models and deployment in production. Natural Language Processing (NLP): Strong understanding of NLP concepts and techniques to manage documents and natural language inputs. Full stack Programming Skills: Proficiency in programming languages commonly used in AI and machine learning, such as Python and libraries like TensorFlow or PyTorch , Machine Learning and AI: Knowledge of machine learning concepts and AI algorithms can be advantageous, especially when dealing with more advanced chatbot capabilities and personalization. Data Preprocessing: Handling and preprocessing large datasets for training generative models, ensuring data quality and appropriate formatting. Problem-Solving Skills: The ability to analyze complex conversational scenarios and design appropriate AIML-based solutions to address user queries effectively. Communication Skills: Effective communication is crucial for collaborating with other team members and stakeholders, as well as explaining technical concepts to non-technical individuals. Collaboration: Working closely with cross-functional teams, including data scientists, engineers, and domain experts, to integrate generative models into real-world applications Creativity and Innovation: The ability to think creatively and produce innovative solutions to enhance the chatbot's performance and user experience.