Specialized Analytics Sr Anlst AVP

Citi; Haryana; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Citi is seeking a Senior AI/ML professional to design, develop, and deploy end-to-end AI/ML solutions, focusing on LLM-based retrieval-augmented generation systems. You will lead prompt engineering, work with large datasets, and translate complex AI concepts into actionable business insights for cross-functional stakeholders.

The role emphasizes collaboration across teams in a matrix environment, with a strong foundation in ML algorithms and hands-on experience in building end-to-end LLM

Qualifications

• 7-9 years of relevant hands-on experience in an AI, ML, or data science role.
• Strong foundation in classical machine learning algorithms and their practical applications.
• Deep understanding of LLMs and hands-on experience building end-to-end RAG pipelines.
• Expertise in prompt engineering techniques and LLM evaluation/testing methodologies.
• Strong proficiency in Python and its core AI/ML libraries.
• Experience in retrieving and manipulating large datasets using SQL.
• Excellent communication and interpersonal skills in a matrix environment.

Responsibilities

• Design, develop, and deploy end-to-end AI/ML solutions with emphasis on LLMs and RAG systems.
• Apply Agentic AI fundamentals to create autonomous systems for business problems.
• Utilize ML techniques to generate insights and enhance AI-driven solutions.
• Lead prompt engineering and establish testing frameworks for LLM applications.
• Work with large datasets to source, clean, and prepare data for modeling.

Skills

Gradient Boosting

Clustering

XGBoost

LLMs

RAG pipelines

Prompt engineering

LLM evaluation

Python

SQL

Communication

Education

Bachelors/University degree

Tools

N/A

Job description

About CITI

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial

GenAI – C12:

About CITI

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.

Analytics and Information Management (AIM)

Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.

What do we do?

The North America Consumer Bank – Data Science and Modeling team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank.

The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems.

Responsibilities:

• 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.

Qualifications:

• 7-9 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.

Education:

• Bachelors/University degree or equivalent experience in a quantitative field such as Computer Science, Statistics, Engineering, or Mathematics.

Job Family Group:

Decision Management

Job Family:

Specialized Analytics (Data Science/Computational Statistics)

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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