Senior GenAI Engineer - Gurgaon/Noida/Pune/Bangalore

Overview: We are seeking a highly skilled and experienced Senior Generative AI Data Scientist to join our dynamic team. The ideal candidate will be passionate about pushing the boundaries of AI innovation, with a deep understanding of Python development and a proven track record in the Generative AI space.\n\nKey Responsibilities\nDevelop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability\nImplement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions\nDevelopment of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation\nCollaborate with cross-functional teams to integrate AI functionalities into broader systems and applications\nUtilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency\nStay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities\nAssist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success\n\nRequired Skills and Experience:\nBachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.\n6+ years of experience in data science.\nExperience with LLMs like Llama (1/2/3), Mistral, T5, Langchain or framework similar like Langchai)\nCandidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning\nKnowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation\nCandidate must be comfortable interpreting research papers and architecture diagrams of Language Models\nCandidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.\nExperience leading the end-to-end design, development, and deployment of predictive modeling solutions\nExcellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.\nSQL skills with SQL Server and Spark experience is preferred but not necessary.\nKnowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks.\nExperience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.\nExcellent verbal and written communication.