? Develop and implement a robust system for converting natural language queries with help of prompt engineering into useful format, which can be further programmatically used for search a set of SQL tables or set of documents.
? Development and application of word embedding techniques (Woprd2vec, Transformer model based encoders, LLM based encoder, BERT based encoders etc)
? Fine Tuning of Large Language Models with custom data sets.
? Utilize Generative AI techniques, leveraging Large Language models, to accurately interpret and convert natural language queries into SQL statements.
? Use of LLMs for the NLP state of art techniques like Text Classification, NER, Keyword Extraction, Text-to-SQL conversion.
? Check the feasibility of use cases based on Large Language Models, specifically in area chatbot for sales and finance problems.
? Develop mechanism to summarize SQL tables into user-level summary text, providing concise and meaningful insights from the data retrieved.
? Design and build scalable architecture that can handle a large volume of queries efficiently, ensuring high performance and minimal latency.
? Collaborate with cross-functional teams, including data scientists, software engineers, and database administrators, to understand requirements and integrate the solution into existing systems.
? Conduct thorough research and stay up to date with the latest advancements in NLP, machine learning, and Generative AI to continuously improve the system's accuracy and efficiency.
? Optimize and fine-tune SQL queries to ensure efficient data retrieval, taking into account query execution plans, indexes, and query performance optimization techniques.
? Develop testing frameworks and conduct rigorous testing to validate the system's accuracy, reliability, and scalability.
? Document the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements.

Skills
MUST
? Strong experience in architecting and development of ML, NLP based projects is a must.
? Strong track record of ML led solution development from scratch.
? Strong proficiency in Python Programming (very strong Python credentials only apply) and experience with relevant libraries and frameworks for NLP such as NLTK, spaCy, Hugging Face transformers.
? In-depth knowledge and experience in using Generative AI techniques for NLP tasks, preferable with Large Language models (e.g., GPT-3, GPT-4), GCP PALM models (code bison, text bison) or Hugging Face models.
? Good exposure to word embedding techniques. (BERT, Word2Vec, LLM based encoders etc.)
? Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and deep learning architectures.
? Hands on experience with Langchain framework.
? Solid understanding of SQL and experience working with popular relational database management systems.
? Proficiency in writing both simple standard SQL queries and complex joining queries to fetch data from a database.
? Experience with query optimization techniques and understanding of indexes, execution plans, and performance tuning.
? Familiarity with cloud-based data warehousing platforms.
? Strong problem-solving skills and ability to translate business requirements into technical solutions.
? Excellent communication skills to collaborate effectively with multidisciplinary teams.
? Ability to work independently, manage priorities, and deliver high-quality results within project timelines.
? Strong attention to detail and a commitment to producing clean, well-documented code.

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