Citi Group Artificial Intelligence/Machine Learning Specialist Hybrid 

United States, Texas, Irving 

180250603

The Artificial Intelligence/Machine Learning Specialist is an intermediate level position responsible for driving efforts to prevent, monitor and respond to information/data breaches and cyber-attacks. The overall objective of this role is to ensure the execution of Information Security directives and activities in alignment with Citi's data security policy.Responsibilities:

• Identify opportunities to automate and standardize information security controls and for the supported groups leveraging the qualifications listed below.

• Analyze source code to mitigate identified weaknesses and vulnerabilities within the system

• Review and validate automated testing results and prioritize actions that resolve issues based on overall risk

• 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, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 6-10 years of relevant experience using tools for statistical modeling of large data sets

• The ideal candidate should have past experience in the following areas:

• 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 tools 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
  

Education:

• Bachelor’s degree/University degree or equivalent experience

• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Anticipated Posting Close Date:

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