As an experienced Engineer working for our leading client, you serve as member of an agile team to design and deliver trusted market leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with the client, strategizing on how big data can make client trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of client's private and public cloud platforms.
Developing solution using Large Language models for generating new content, Summarization, Classification and Open-Domain Q+A use cases.
Candidate is expected to have minimum 5 years of experience on the below areas Building data pipeline to extract information from unstructured documents using NLP , LLM and Computer Vision. Good knowledge in LLM fine tuning techniques and building RAG architecture pattern.
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Developing probabilistic and predictive AI models for data classification and retrieval problems with god skills in Prompt Engineering.
LLM Fine Tuning Techniques: Good understanding of fine tuning techniques for large language models with good experience in Python.
LLM FineTuning
Prompt Engineering
Python
MangoDB
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