Role overview
Posted Date
12/22/2025
Description
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 line at Citi globally.
What you'll work on
- 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.
What we're looking for
AI Agents, AI Frameworks, AI Ops, Generative AI, Large Language Models (LLMs), Machine Learning (ML), ML Frameworks, Python (Programming Language), Standard ML (Programming Language).