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OFFICER CSR INITIATIVES
EQUITAS DEVELOPMENT INITIATIVES TRUST —Chengalpattu, Chennai, Tamil Nadu
- ₹18,000 - ₹20,000 a month
- Full-time
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- Paid time off
Quick apply
AI Engineer, Agentic Systems -Python- -Assistant Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Databases
- SQL
- Bachelor's degree

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Lead Data Scientist- Gen AI-ML- Vice president

Citi -
Chennai, Tamil Nadu

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Job details

Full-time

Qualifications

TensorFlow
Power BI
Data mining
Law
Computer Science
Software Engineering
Big data
NumPy
Git
Information Systems
Tableau
Master's degree
SQL
Pandas
Analysis skills
Sentiment analytics
Bachelor's degree
Machine learning
Natural language processing
GitHub
Regression analysis
Kafka
Data science
Data visualization
AI
Python
Data Science

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

About the Team:

Citi is looking for a Lead Gen 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 Gen 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), and SQL
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

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 collaborative development
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.

Apply Now

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