Description

You will design, develop, and implement advanced AI-driven solutions focusing on data science and Generative AI use cases.

This role is hybrid.

Responsibilities

• Perform statistical analysis and hypothesis testing to derive actionable insights from data.
• Design, train, evaluate, and optimize machine learning models.
• Build and maintain data pipelines in AWS environments for data preprocessing and management.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance generative AI systems.
• Fine-tune and adapt Large Language Models (LLMs) for specific business use cases.

Required Skills

• 5+ years of professional experience as a Data Scientist or in a related role.
• Expertise in Data Science, Generative AI, RAG, LLMs, and Python.
• Hands-on experience building and managing data pipelines within AWS environments.
• Practical experience implementing RAG architectures and LLM fine-tuning.
• Experience utilizing LangChain and Llamaindex frameworks to orchestrate LLM workflows.
• Strong background in statistics, including hypothesis testing and EDA.
• Proficiency in Python for data science and ML development.
• Experience working with AWS services like Amazon SageMaker and Amazon Bedrock.

Key Skills

Education

Any Graduate