Model Developer, Assistant Vice President

Citigroup; Mumbai; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Citi in Mumbai seeks a Model Developer to design, build, and deploy AI/ML models, translating real-world problems into scalable production solutions. You will work with Python, SQL, and modern AI frameworks to create data pipelines and dashboards that support enterprise decisions.

You will optimize data models, build reusable APIs, lead design reviews, and mentor teammates, while operating in a hybrid setup (3 days in the office, 2 remote).

Qualifications

• Minimum 5+ years of software development and data engineering experience.
• Proficient Python with OOP and frameworks like FastAPI/Flask.
• Strong SQL skills and data modeling across distributed databases.
• Experience building AI/GenAI models and production deployment.
• Knowledge of Git, CI/CD, automated testing, Docker, and Agile methods.
• Ability to communicate complex AI concepts to non-technical stakeholders.

Responsibilities

• Design, build, and test scalable software applications using Python and SQL.
• Develop and integrate AI/GenAI models into production workflows.
• Architect and optimize SQL queries and data models for large datasets.
• Build reusable APIs and data ingestion pipelines.
• Automate data preprocessing and feature engineering; identify data quality issues.
• Translate business requirements into technical specs and roadmaps.
• Lead demos, training, and design walkthroughs; mentor teammates.

Skills

5+ years experience

Advanced Python

SQL analytics

AI/GenAI models

Git & CI/CD

Docker

Agile methodologies

Education

Bachelor's degree in CS/Software Eng/Data Science

Tools

FastAPI

Flask

Pandas

NumPy

PyTorch

TensorFlow

LangChain

Job description

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 modern 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.

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.

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.

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