As a Model Developer at Citi, you will design, build, and deploy AI and machine learning models that turn complex data into production-ready solutions. Working across Python, SQL, and modern AI frameworks, you will partner with business and technology teams to translate real-world problems into scalable applications and data pipelines. Your work will shape how Citi applies artificial intelligence and data engineering to improve decision-making and streamline workflows across the organization. **Responsibilities** + Design, build, and test scalable software applications using Python and SQL to support enterprise data and AI initiatives. + Develop and integrate AI, generative AI, and machine learning models, including agentic frameworks and predictive capabilities, into production workflows. + Architect and optimize complex SQL queries, stored procedures, and data models to extract and analyze large-scale datasets across distributed databases. + Build reusable APIs, data ingestion pipelines, and automated services that streamline business processes and analytics. + Automate data extraction, preprocessing, and feature engineering while identifying data quality issues and performance bottlenecks. + Translate business requirements into technical specifications, architecture diagrams, and sprint deliverables in partnership with stakeholders. + Lead solution demos, training sessions, and technical design walkthroughs for technical and non-technical audiences. + Mentor team members through code reviews and design discussions while escalating technical risks and control gaps. **Required Qualifications & Skills** + Brings 5+ years of professional experience in software development and data engineering, along with a bachelor's degree in computer science, software engineering, data science, information systems, or equivalent practical experience. + Demonstrates advanced Python skills, including object-oriented programming and frameworks such as FastAPI, Flask, Pandas, NumPy, PyTorch, TensorFlow, or LangChain. + Writes advanced SQL and optimizes queries, indexing,



and data models across relational and distributed databases. + Builds and operationalizes AI and generative AI models, including prompt workflows, embeddings, and large language model orchestration, in production settings. + Applies software engineering practices such as Git version control, CI/CD pipelines, automated testing, Docker containerization, and agile methodologies. + Communicates complex technical and AI concepts clearly to non-technical stakeholders and senior leadership while managing expectations across cross-functional teams. + Analyzes and prioritizes dynamic requirements while managing multiple deliverables in a fast-paced environment. **Beneficial Skills & Qualifications** + Builds interactive dashboards and reporting solutions using Tableau or equivalent business intelligence tools. + Works with distributed query engines such as Starburst, Trino, or Presto, and modern data lake architectures. + Explores Google Cloud Platform data services, Google Agent Development Kit, or other enterprise AI agent development platforms. + Understands model validation, data lineage, role-based access control, and enterprise governance frameworks. **What We Offer** Join a team where your AI and data engineering expertise directly shapes how Citi builds intelligent, production-ready solutions. + Work in a hybrid arrangement with 3 days in the office and 2 days working remotely each week. + Build and deploy AI, machine learning, and data engineering solutions that solve complex, real-world business problems. + Collaborate with technology and business teams across the organization on high-impact projects.



+ Access learning and development opportunities that deepen your expertise across contemporary AI and data technologies. + Benefit from financial wellbeing resources that support long term career and personal goals. + Grow your influence through mentorship opportunities and technical leadership within the team. Apply now to build the AI and data solutions that power Citi's next generation of technology. ------------------------------------------------------ **Job Family Group:** Risk Management ------------------------------------------------------ **Job Family:** Model Development and Analytics ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Non-Model Application Developer (DART), Assistant Vice President (Mumbai)
🏢 Citigroup
📍 Mumbai