Citi Group AIML Lead - Assistant Vice President C12 Pune 

India, Maharashtra, Pune 

161843055

Role Description

Looking for a proficient individual contributor in machine learning to help us extract value from data. Proficiency in all the processes from data collection, cleaning, and preprocessing, to training models, identifying & solving problems using “Large language Models (LLMs)” on private public cloud and deploying solutions to production.

Leadership:

• Work as Lead for a suite of applications within Internal Audit.
• Should own the responsibility of a module and synergize with team to deliver.
• Should be able to lead a team to deliver complex system designs.
• Understand requirements and code and unit test required components
• Support acceptance tests and production test
• Report progress on work and work collaboratively with the existing global team
• Keep abreast of latest technological happenings in his work area and bring relevant ideas/concept to the table

Delivery:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
• Understand & analyze business problems and try and find solutions by using tolls involving AI/ML, Large Language models.
• Analyzing the ML algorithms/LLMs that could be used to solve a given problem and ranking them by their success probability.
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Finding available datasets that could be used for training
• Defining validation strategies
• Defining the preprocessing or feature engineering to be done on a given dataset
• Store preprocessed data for quick lookup when applicable
• Defining data augmentation pipelines
• Training models and tuning their hyper-parameters
• Analyzing the errors of the model and designing strategies to overcome them
• Tuning models
• Capability to identify pertinent models fit for the problem at hand

Proficiency with Large Language Models (LLMs)– understanding of in-depth details, infra needs and ability to provide solution to day-to-day problems using LLMs.

Proficiency with traditional machine learning models - classification & regression

Proficiency with a deep learning framework such as TensorFlow or Keras

Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.

Expertise in visualizing and manipulating big datasets

Exposure to semantic and/or contextual searching

Familiarity with Linux

Nice to have

Exposure to Elastic-search, document database, and graph database

Knowledge on flask, Django

Development Value:

(What opportunities to develop can the job offer a prospective candidate?)

• Excellent opportunity to learn Compliance function and opportunity to work on integrated platform for Internal Audit.
• Opportunity to learn/ add domain skill in Internal Audit Analytics and GRC.
• Opportunity to directly work for one of the best technology teams on Wall Street.

Time Type:

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