GenAI intelligent insights, Conversational systems Lead - AVP

Citi · Pune · Posted 2026-07-21

Tech stack: AWS, Linux, Python, SQL

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About the role

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.
Responsibilities: - Skillset you should possess
- The most important skill that our analyst should possess is their love for data and their eagerness for new challenges & solving new problems.
- Apart from these, they should also have the following skillset
Qualifications: - hands on with GenAI technologies, RAG etc with Agentic AI and Agentic frameworks like Google ADK
- Has the ability to analyze and interpret modeling results with ML open source tools and APIs like Scikit-Learn, Tensor flow/ keras, Numpy, scipy, pandas, matplotlib, just to name a few.
- with NLP open source tools like NLTK, Gensim, spaCy, TextBlob, etc.
- with Big data technologies like Hive, PySpark, etc.
- with AutoML Technologies, specifically, H2O Driverless AI with data munging, manipulating large datasets, data engineering and visualization
- Demonstrated strong coding and programming abilities for at least Python, SQL, and Linux
- Understanding of statistics and probabilities
- Good communication skills with ability to write proper documentation, and team player
- Experience/understanding cloud platform like AWS is a plus
- Ability to work on projects without continuous supervision in individual capacity in working on Credit Cards and Retail Banking products is a plus
- Control orientated and Risk awareness Other details
- Employment: Full Time
- Industry: Credit Cards, Financial Services, Banking

Qualifications

- hands on with GenAI technologies, RAG etc with Agentic AI and Agentic frameworks like Google ADK
- Has the ability to
- analyze and interpret modeling results with ML open source tools and APIs like Scikit-Learn, Tensor flow/ keras, Numpy, scipy, pandas, matplotlib, just to name a few.
- with NLP open source tools like NLTK, Gensim, spaCy, TextBlob, etc.
- with Big data technologies like Hive, PySpark, etc.
- with AutoML Technologies, specifically, H2O Driverless AI with data munging, manipulating large datasets, data engineering and visualization
- Demonstrated strong coding and programming abilities for at least Python, SQL, and Linux
- Understanding of statistics and probabilities
- Good communication skills with ability to write proper documentation, and team player
- Experience/understanding cloud platform like AWS is a plus
- Ability to work on projects without continuous supervision in individual capacity in working on Credit Cards and Retail Banking products is a plus
- Control orientated and Risk awareness Other details
- Employment: Full Time
- Industry: Credit Cards, Financial Services, Banking

Responsibilities

- Skillset you should possess
- The most important skill that our analyst should possess is their love for data and their eagerness for new challenges & solving new problems.
- Apart from these, they should also have the following skillset

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