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Citi · 8 hours ago

Machine Learning Engineer - VP

Jersey City, NJ

Full-time

Onsite

Mid, Senior Level

$142K/yr - $213K/yr

5+ years exp

Citi is seeking a highly skilled and motivated Machine Learning Engineer to join their technology team. The role involves designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models, while driving the implementation of new AI-driven systems across all business lines globally.

BankingFinanceFinancial Services

H1B Sponsor Likely

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 your 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: 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

Qualification

PythonGenerative AILarge Language ModelsDevOps toolsAI/ML frameworksApplication DevelopmentCloud ArchitectureData ProficiencyArchitectural UnderstandingProblem-SolvingLeadership

Required

5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning

Strong object-oriented programming skills with expert-level proficiency in Python

Deep experience with AI/ML frameworks (e.g., Langchain) and hands-on experience with Generative AI technologies and Large Language Models

Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics

Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices

Solid understanding of modern software development practices, including microservices architecture and API design principles

Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration

Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions

Preferred

Experience with various cloud platforms (e.g., AWS, GCP, Azure) and architectures (e.g., single/multi-tenant)

Experience designing and implementing microservices-based architectures for large-scale platforms in complex environments

Demonstrated leadership, project management skills, and a proven track record of self-motivation and continuous learning

Benefits

Medical, dental & vision coverage

401(k)

Life, accident, and disability insurance

Wellness programs

Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Company

Citi

Glassdoor3.8

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Founded in 1812

San Antonio, Texas, USA

10001+ employees

https://www.citi.com

H1B Sponsorship

Citi has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (1386)

2024 (849)

2023 (1375)

2022 (1117)

2021 (876)

2020 (901)