 Design and implement advanced machine learning models using Python, TensorFlow, and PyTorch.  Develop and optimize transformer architectures, including BERT and other generative/discriminative models.  Perform LLM prompt engineering, including Chain-of-Thought techniques to enhance model performance.  Design and implement LLM functions and agents, including ReAct Agents, for various applications.  Utilize language embeddings and vector stores in Retrieval-Augmented Generation (RAG) frameworks.  Collaborate with cross-functional teams to translate business requirements into datadriven solutions. Qualifications:  Minimum of 5 years of relevant experience in Data Science.  Strong expertise in Python and experience with TensorFlow and/or PyTorch.  In-depth knowledge of transformer design, including experience with models like BERT.  Proven experience in LLM prompt engineering and the development of intelligent agents.  Familiarity with language embeddings and their application in vector stores and RAG.  Graduated from a top-tier institution (IITs, NITs, or equivalent). Desired Skills:  Strong analytical and problem-solving skills.  Ability to work independently and collaboratively in a team environment.  Excellent communication skills, both written and verbal.  Passion for staying updated with the latest advancements in data science and machine learning.