Machine Learning Engineer Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Jersey City, New Jersey
Salary
$142,320–$213,480 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k
This role $178k
$129k most similar roles pay here $263k

This role pays less than 68% of similar roles. Most pay $170,677–$249,753 — the shaded band above. At the midpoint, this role pays about $178k versus about $210k 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 391 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 361 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Machine Learning Engineer Vice President

Citi is hiring a senior Machine Learning Engineer to join its technology team, focusing on developing and deploying advanced applications using Generative AI and Large Language Models. This role involves architecting scalable and reliable platform services, implementing Retrieval-Augmented Generation (RAG) solutions with VectorRAG and GraphRAG techniques, and driving the development of agentic AI workflows. The ideal candidate will have expertise in Python, ML frameworks like Langchain, and hands-on experience with LLMs for applications such as search and chat agents. Strong DevOps skills are essential, including CI/CD pipelines, automated testing, and containerization using Docker and Kubernetes. Candidates should also possess a solid understanding of microservices architecture and API design principles, along with proficiency in various data storage solutions and cloud platforms like AWS or GCP.

What you'll do

  • Design and architect end-to-end platform capabilities integrating with Generative AI technologies.
  • Develop and deploy solutions using VectorRAG and GraphRAG techniques with both open-source and commercial LLMs.
  • Apply Agentic AI workflows to build sophisticated automated systems for complex business use cases.
  • Implement robust CI/CD pipelines, automated testing, and containerization for machine learning models.
  • Manage end-to-end project deliverables from conception to deployment, identifying and mitigating risks proactively.
  • Perform rapid prototyping of new GenAI use cases to evaluate feasibility through proof-of-concept projects.

What we're looking for

  • 5+ years of experience in software development or systems analysis with a focus on machine learning.
  • Expert-level proficiency in Python and deep expertise in AI/ML frameworks like Langchain.
  • Proven track record of building applications using LLMs for search, chat agents, and guided analytics.
  • Strong knowledge of DevOps tools (Jenkins, GitLab) and practices including Docker and Kubernetes.
  • Solid understanding of modern software development practices, microservices architecture, and API design principles.
  • Experience with various data storage solutions and data pipeline orchestration techniques.
  • Excellent analytical skills and ability to troubleshoot complex technical issues innovatively.

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