Spec Analytics Analyst

Overview

Designs and builds AI/ML solutions using advanced machine learning and Large Language Models, with a focus on Retrieval-Augmented Generation (RAG) systems, within the North America Consumer Bank Data Science and Modeling team.

What you'll do

• Design, develop, and deploy end-to-end solutions leveraging Large Language Models (LLMs), with a strong focus on building and optimizing Retrieval-Augmented Generation (RAG) systems.
• Apply the fundamentals of Agentic AI to create autonomous and intelligent systems that solve complex business problems.
• Utilize a broad range of machine learning techniques, including predictive modeling (e.g., Gradient Boosting, XGBoost) and unsupervised learning (e.g., Clustering), to generate insights and enhance AI-driven solutions.
• Lead advanced prompt engineering efforts and establish robust testing frameworks to ensure the performance, accuracy, and safety of LLM-based applications.
• Work with large and complex datasets to source, clean, and prepare data for both traditional modeling and advanced LLM applications.
• Translate complex AI/ML concepts and analytical findings into actionable insights and communicate them clearly to both technical and non-technical stakeholders.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations.

What you'll need

• 4-6 years of relevant hands-on experience in an AI, ML, or data science role.
• Strong foundation in classical machine learning algorithms (e.g., Gradient Boosting, Clustering, XGBoost) and their practical applications.
• Deep understanding of Large Language Models (LLMs), and proven, hands-on experience building end-to-end Retrieval-Augmented Generation (RAG) pipelines.
• Demonstrable expertise in advanced prompt engineering techniques and a strong grasp of LLM evaluation and testing methodologies.
• Strong proficiency in Python and its core AI/ML libraries.
• Expertise in retrieving and manipulating large datasets using SQL.
• Excellent communication and interpersonal skills, with the ability to build partnerships with cross-functional leaders in a matrix work environment.
• A proactive, can-do attitude and a strong willingness to learn and adapt within the rapidly evolving AI landscape.
• Bachelors/University degree or equivalent experience in a quantitative field such as Computer Science, Statistics, Engineering, or Mathematics.

Details

• Location: Gurugram, Haryana, India.
• Full-time role.
• Reports to the AVP/VP leading the team.