Job Description

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Develop, deploy, and fine-tune LLMs (Large Language Models) and work on cutting-edge GenAI applications.
Develop and optimize RAG (Retrieval-Augmented Generation) pipelines
Apply traditional machine learning techniques to develop regression and classification models for scoring engines and decision support systems.
Design, execute, and iterate on rapid Proof-of-Concepts (POCs) for new features and technologies.
Work extensively with Python and SQL for data analysis, manipulation, and model development.
Leverage AWS ecosystem for scalable model training and deployment (BedRock, Sagemaker, EC2, Lambda etc).
Handle Natural Language Processing (NLP) tasks like entity recognition, sentiment analysis, and text generation.
Collaborate with cross-functional teams to integrate ML solutions into fintech products.
Stay updated with the latest advancements in AI/ML and proactively propose new ideas and solutions.

Skills Required