Machine Learning Engineer Vice President

Citi

Jersey City (NJ)

On-site

USD 142,320 - 213,480

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision coverage
401(k) plan
Paid time off packages

Job summary

A leading financial services provider is seeking a skilled Machine Learning Engineer to join its tech team in Jersey City, New Jersey. This role involves architecting and building AI solutions leveraging Generative AI technologies, driving DevOps best practices, and managing end-to-end project deliverables. Candidates should have at least 5 years of software development experience, proficiency in Python, and a strong foundation in AI/ML frameworks. The position offers a competitive salary and comprehensive benefits package.

Qualifications

  • 5+ years of experience in Software Development or Systems Analysis focusing on machine learning.
  • Strong object-oriented programming skills with expert-level proficiency in Python.
  • Experience with AI/ML frameworks like Langchain and Generative AI technologies.

Responsibilities

  • Design and architect end-to-end platform services integrating Generative AI.
  • Implement CI/CD pipelines, automated testing, and containerization.
  • Manage deliverables and assess risks throughout the project lifecycle.

Skills

Python programming
AI/ML frameworks
Problem-solving
DevOps tools

Education

Bachelor's Degree in Computer Science

Tools

Docker
Kubernetes
Jenkins
GitLab

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 (POC) projects to evaluate and demonstrate the feasibility of new GenAI use cases.
  • Ensure System Integrity: 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.
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.
Education

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

Benefits & Compensation

Primary location: Jersey City, New Jersey, United States. Full‑time salary range: $142,320.00 - $213,480.00. In addition to salary, Citi offers discretionary and formulaic incentive and retention awards, as well as competitive employee benefits including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; wellness programs; paid time off packages, including planned vacation, unplanned sick leave, and paid holidays. For additional 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 their 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/or apply for a career opportunity, review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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