Gen AI Engineering Analyst - Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$113,840–$170,760 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $142k
$98k most similar roles pay here $262k

This role pays less than 88% of similar roles. Most pay $157,000–$246,150 — the shaded band above. At the midpoint, this role pays about $142k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 397 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 367 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Gen AI Engineering Analyst - Vice President

As a Senior Machine Learning Engineer on the Applications Development team, you will leverage Python, Java/C++, and SQL to design and implement machine learning models using TensorFlow, PyTorch, or Scikit-learn. Your daily tasks include building RESTful APIs with Django or Flask, deploying applications on Kubernetes, and processing large datasets with Apache Spark. You’ll work closely with cloud-native AI services like AWS SageMaker and Azure ML for model deployment and management. Additionally, you will create data visualizations using Power BI, Tableau, or Matplotlib, ensuring models are evaluated effectively through metrics such as Accuracy and F1-score. This role requires expertise in NLP libraries like spaCy and Hugging Face Transformers, along with proficiency in Git for collaborative development.

What you'll do

  • Develop machine learning models using TensorFlow, PyTorch, or Scikit-learn.
  • Design and consume APIs and web services with REST or GraphQL protocols.
  • Clean, transform, and analyze data using Pandas and NumPy libraries.
  • Deploy applications on cloud platforms like AWS SageMaker or Azure ML.
  • Create insightful visualizations and dashboards using Power BI, Tableau, or Matplotlib.

What we're looking for

  • Proficiency in Python, Java/C++, and SQL.
  • Experience with TensorFlow, PyTorch, or Scikit-learn for model development.
  • Expertise in Docker, Kubernetes, and cloud-native AI/ML services.
  • Strong knowledge of Pandas, NumPy, and Apache Spark for data processing.
  • Hands-on experience deploying applications on AWS, Azure, or Google Cloud.
  • Practical use of NLP libraries like NLTK, spaCy, or Hugging Face Transformers.
  • Skill in creating data visualizations with Power BI, Tableau, or Matplotlib.

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