**About the Team:** Citi is looking for a **Lead AI/ML Data Scientist** to join the Olympus Data Reconciliation and Engineering team, where you will shape the next generation of AI and machine learning capabilities powering enterprise-scale reconciliation across global processing hubs. In this role, you will drive the full lifecycle of ML model development - from ideation and architecture through to deployment and adoption - delivering measurable impact across Capital Markets operations, risk, and finance. Your work will sit at the intersection of advanced data science and real-world financial systems, influencing outcomes at a global scale. **Responsibilities:** + Design, build, and deploy AI and machine learning models - including Agentic AI and Generative AI solutions - to solve complex reconciliation and data engineering challenges at enterprise scale. + Lead the end-to-end ML model development lifecycle, from requirements gathering and data preprocessing through to ensemble modeling, validation, and production integration. + Analyze large volumes of structured and unstructured financial data to uncover trends, patterns, and opportunities for optimization across banking platforms. + Define and deliver ML model roadmaps in collaboration with technical and business teams, ensuring alignment with project timelines, budgets, and Citi's architecture standards. + Translate complex data findings into clear visualizations and strategic recommendations that inform decisions made by senior business and technology leaders. + Partner with engineering, operations, and cross-functional teams to ensure seamless model integration, long-term scalability, and reliable performance in production environments. + Identify and communicate technology risks and their business implications, developing mitigation strategies and maintaining transparency with stakeholders at all levels. + Maintain comprehensive model documentation and support knowledge transfer to ensure continuity and adoption across teams. **Required Qualifications & Skills:** **Technical Expertise:** + 10+ years hands-on experience in AI/ML development and big data engineering within Financial Services, Insurance, or Telecom environments + Expert-level proficiency in **Python** (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy), **R** (caret, tidyverse, mlr3),



and **SQL** (PostgreSQL, Oracle, MySQL) + Deep technical knowledge implementing supervised and unsupervised ML algorithms: linear/logistic regression, neural networks (CNN, RNN, LSTM, Transformers), k-means clustering, DBSCAN, decision trees (CART, C4.5), and ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost) + Proven experience building and deploying **Agentic AI** and **LLM-based solutions** using: + **LangGraph** for complex agent orchestration and state management + **LangChain** for chain-of-thought reasoning and retrieval-augmented generation (RAG) + **Agent Development Kit (ADK)** for enterprise-grade autonomous agent development + Production-level experience with **MLOps frameworks and infrastructure** : + **Apache Airflow** for ML pipeline orchestration and workflow automation + **Kubernetes** for containerized model deployment and scaling + **Docker** for reproducible ML environments + Advanced proficiency with **distributed computing technologies** : + **Apache Spark** (PySpark, Spark MLlib) for large-scale data processing + **Hadoop ecosystem** (HDFS, MapReduce, YARN) + **Apache Hive** for data warehousing and SQL-on-Hadoop + Expertise with **cloud-native data platforms** : + **AWS S3** for scalable data lake storage + **Amazon Redshift** for enterprise data warehousing + **AWS SageMaker** , **Azure ML** , or **Google Vertex AI** (beneficial) + Strong background in **data reconciliation frameworks** , **data quality validation** , and **ETL/ELT pipelines** for financial data processing at enterprise scale **Beneficial Skills & Qualifications:** + Hands-on experience with advanced statistical modeling: **Generalized Linear Models (GLM)** , **Random Forest** , **Gradient Boosting** (AdaBoost, XGBoost), and **Natural Language Processing (NLP)** techniques including text mining, topic modeling (LDA),



and sentiment analysis + Experience with **model versioning and experiment tracking tools** (Mlflow, Weights & Biases, DVC) + Proficiency with **Git/GitHub/Bitbucket** for version control and cooperative development + Knowledge of **CI/CD pipelines** for ML model deployment (Jenkins, GitLab CI, GitHub Actions) + Familiarity with **data visualization libraries** (Matplotlib, Seaborn, Plotly) and **BI tools** (Tableau, Power BI) + Experience with **real-time streaming data** frameworks (Kafka, Kinesis) + Passion for staying current with emerging AI/ML frameworks, research papers, and open-source contributions **Education:** Bachelor's or Master's degree in **Computer Science** , **Data Science** , **Software Engineering** , **Information Systems** , **Mathematics** , **Statistics** or related fields of study. ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Data Science ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **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.

📌 Lead AI/ML Data Scientist- Vice president (Chennai)
🏢 Citigroup
📍 Chennai