Generative AI and Machine Learning Developer

Citibank (Switzerland) AG; India; On-site; Confidential; Full time

Job summary

Citi is seeking a Spec Analytics Intmd Analyst (C11) in the TTS Analytics team to develop AI-driven insights across client experience and revenue growth. You will leverage GenAI, LLMs, and data sources to deliver scalable analytics, collaborate with product, security, and platform teams, and lead end-to-end AI projects.

The role requires hands-on ML/DL experience, API-first thinking in Python/Node.js, and familiarity with MLOps and governance. This position is full-time and impact-oriented.

Qualifications

• 5–8 years of data science experience with Gen AI.
• Shipping AI-enabled products to production in an agile environment.
• Identifying and resolving business problems around client experience and operations.
• Hands-on with LLMs and transformer architectures; experience with prompt engineering.
• Familiarity with graph databases and search infrastructure.

Responsibilities

• Own end-to-end delivery of AI-powered products: requirements, design, implementation, testing, deployment and support.
• Apply GenAI techniques (prompt engineering, RAG, fine-tuning) and deep learning methods to solve practical problems.
• Collaborate with product, data, security and platform teams to prioritize roadmaps and translate problems into delivered capabilities.
• Create clear technical documentation, architecture diagrams and runbooks; participate in design and code reviews.
• Assess risk and drive compliance with laws, policies, and safeguarding Citi's reputation.

Skills

GenAI solutions

LLMs

Prompt engineering

Python

PyTorch

TensorFlow

HuggingFace

RAG

APIs

ML pipelines

Education

Masters in Computer Science Engineering

Tools

PyTorch/TensorFlow

Hugging Face ecosystem

APIs (Python/Node.js)

RAG tooling

Vector indexes

Graph databases

Job description

The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

What do we do?

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on enhancing client experience, driving acquisitions, cross-sell and revenue growth. The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and AI/ML techniques to drive data driven business outcomes in collaboration with business and product partners. The team works on building and operating Generative AI and deep learning solutions - Design, implement, and scale production‑grade AI applications end‑to‑end—from data ingestion and model services to user‑facing interfaces, observability, and secure deployments.

ROLE DESCRIPTION

The role will be Spec Analytics Intmd Analyst (C11) in the TTS Analytics team The role will report to the AVP or VP leading the team. The role will involve working on Multiple analyses through the year on business problems across the client experience for the TTS business This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (unstructured data like emails, call transcripts, etc., client profile & engagement data, transactions & revenue data, digital data, etc.) to provide data driven insights to business partners and functional stakeholders As a key contributor to ideation on analytical projects to tackle strategic business priorities The role will require endless curiosity, as ambiguity and open-ended questions are a core part of the team’s work Own end‑to‑end delivery of AI‑powered products: requirements, design, implementation, testing, deployment, and support. Apply GenAI techniques (prompt engineering, RAG, fine‑tuning) and deep learning methods to solve practical user and business problems. Build evaluation harnesses and guardrails for LLM quality, safety, hallucination reduction, and bias assessment; iterate based on telemetry. Collaborate with product, data, security, and platform teams to prioritize roadmaps and translate ambiguous problems into delivered capabilities. Create clear technical documentation, architecture diagrams, and runbooks; participate in design and code reviews. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Ability to build partnerships with cross-function leaders.

QUALIFICATIONS

Experience:

• 5-8 years of relevant experience in Data Science (ML and DL) combined with solid experience in Gen AI solution.
• Demonstrated track record shipping AI‑enabled products to production in an agile environment.
• Identifying and resolving business problems (around client experience and operations) preferably in the financial services industry.
• Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data.
• Hands‑on with LLMs and transformer architectures; experience with prompt engineering and system prompt design.
• Retrieval‑Augmented Generation (RAG): embeddings, vector indexes, chunking strategies, and retrieval evaluation.
• Model customization: fine‑tuning/LoRA/PEFT; data curation, labeling, and experiment tracking for reproducibility.
• Frameworks and tooling: PyTorch/TensorFlow, Hugging Face ecosystem, and popular orchestration libraries.
• Model serving/inference optimization: batching, token streaming, quantization, caching, and concurrency controls.
• Quality & safety: automatic evaluation, red‑teaming, toxicity filters, PII handling, prompt injection defenses.
• MLOps for GenAI: feature pipelines, model registries, rollout strategies (A/B, shadow), monitoring for drift and hallucinations.
• Experience within design and development of API‑first services in Python and Node.js that expose model inference, feature computation, and analytics.
• Familiarity with graph databases and search infrastructure.
• Agentic AI solution development experience.

Education:

• Masters (preferred) in Computer Science Engineering.

Other job-related duties may be assigned as required.

Job Family Group

Decision Management

Job Family

Specialized Analytics (Data Science/Computational Statistics)

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

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.