Machine Learning Engineer Vice President

Citi; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Life, accident, and disability insurance

Wellness programs

Paid time off packages

Incentive and retention awards

Job summary

Citi is seeking a Machine Learning Engineer to join their technology team in New York. The role requires designing, developing, and deploying applications leveraging Generative AI and LLMs. Responsibilities include architecting scalable solutions, driving DevOps best practices, and collaborating with cross-functional teams.

The ideal candidate should have over 5 years of software development experience, strong Python skills, and a solid understanding of AI/ML frameworks.

Qualifications

• 5+ years of relevant experience in Software Development or Systems Analysis.
• Expert-level proficiency in Python programming.
• Deep experience in AI/ML frameworks and hands-on with Generative AI technologies.
• Proven experience in building applications that apply LLMs and GenAI.
• Strong, working knowledge of DevOps tools and Infrastructure as Code practices.

Responsibilities

• Architect and build AI solutions integrating Generative AI technologies.
• Develop and deploy solutions using VectorRAG and GraphRAG techniques.
• Manage deliverables from conception to deployment.
• Drive DevOps best practices with CI/CD pipelines and automated testing.
• Perform quick proof-of-concept projects to evaluate new GenAI use cases.

Skills

Machine Learning

Python programming

DevOps knowledge

AI/ML frameworks

Microservices architecture

Problem-solving

Education

Bachelor's Degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS

GitLab

Jenkins

Job description

Job Overview

We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying cutting‑edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves architecting end‑to‑end platform services with a focus on scalability, reliability, and performance. You will be a key player in driving the implementation of new AI‑driven systems and programs that will impact all business lines at Citi globally.

Responsibilities

• Architect and Build AI Solutions: Design and architect end-to-end platform capabilities and services that integrate with Generative AI technologies.
• Implement RAG Solutions: Develop and deploy solutions using VectorRAG and GraphRAG techniques with both open-source and commercial Large Language Models.
• Develop AI Workflows: Apply a strong understanding of Agentic AI workflows and frameworks to build sophisticated, automated systems.
• Drive DevOps Best Practices: Implement robust CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline the development and deployment of machine learning models.
• End-to-End Project Ownership: Manage deliverables from conception to deployment, proactively identifying and mitigating risks to ensure project goals are met.
• Rapid Prototyping: Perform and lead quick proof-of-concept projects to evaluate and demonstrate the feasibility of new GenAI use cases.
• Ensure System Integrity: Appropriately assess and manage risk in all technical and business decisions, ensuring compliance with applicable laws, rules, and regulations and maintaining transparency in reporting and managing control issues.
• Collaborate and Innovate: Work closely with cross‑functional teams to solve complex problems, adapt quickly to changing priorities, and contribute to a culture of innovation.

Required Qualifications

• Experience: 5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning.
• Programming Skills: Strong object-oriented programming skills with expert-level proficiency in Python.
• AI/ML Expertise: Deep experience with AI/ML frameworks (e.g., Langchain) and hands‑on experience with Generative AI technologies and Large Language Models.
• Application Development: Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics.
• DevOps Knowledge: Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.
• Architectural Understanding: Solid understanding of modern software development practices, including microservices architecture and API design principles.
• Data Proficiency: Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration.
• Problem‑Solving: Excellent analytical and problem‑solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions.

Education

Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience.

Desired Skills

• Cloud Architecture: Experience with various cloud platforms (e.g., AWS, GCP, Azure) and architectures (e.g., single/multi‑tenant).
• Large‑Scale Systems: Experience designing and implementing microservices‑based architectures for large‑scale platforms in complex environments.
• Leadership: Demonstrated leadership, project management skills, and a proven track record of self‑motivation and continuous learning.

Benefits

In addition to salary, Citi offers competitive employee benefits, including medical, dental & vision coverage, 401(k), life, accident, and disability insurance, wellness programs, paid time off packages (vacation, sick leave, paid holidays), and discretionary and formulaic incentive and retention awards. For more information regarding Citi employee benefits, please visit citibenefits.com.

EEO Statement

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and apply for a career opportunity, review Accessibility at Citi. View Citi’s EEO Policy Statement and Know Your Rights poster.