Machine Learning Engineer - VP

Machine Learning Engineer

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 vector RAG and graph RAG 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.

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.

Preferred qualifications

• 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.

Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.