3 hours ago
Mumbai, IndiaStaff+
Responsibilities
- Design, build, test, and deploy scalable software applications using Python and SQL for enterprise data and AI initiatives.
- Develop and integrate AI, generative AI, machine learning, agentic, and predictive models into production workflows.
- Architect and optimize SQL queries, stored procedures, and data models across relational and distributed databases.
- Build reusable APIs, data ingestion pipelines, and automated services for business processes and analytics.
- Automate data extraction, preprocessing, and feature engineering while identifying data quality and performance issues.
- Translate business requirements into technical specifications, architecture diagrams, and sprint deliverables.
- Lead solution demonstrations, 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.
Requirements
- At least five years of professional experience in software development and data engineering.
- Bachelor's degree in computer science, software engineering, data science, information systems, or equivalent practical experience.
- Advanced Python skills, including object-oriented programming and relevant frameworks and libraries.
- Advanced SQL skills, including query optimization, indexing, and data modeling across relational and distributed databases.
- Experience building and operationalizing AI and generative AI models, prompt workflows, embeddings, and large language model orchestration in production.
- Experience with Git, CI/CD pipelines, automated testing, Docker, and agile methodologies.
- Ability to communicate complex technical and AI concepts to non-technical stakeholders and senior leadership.
- Ability to manage dynamic requirements and multiple deliverables in a fast-paced environment.
- Preferred experience with Tableau or equivalent business intelligence tools, Starburst, Trino, Presto, Google Cloud Platform data services, Google Agent Development Kit, model validation, data lineage, role-based access control, and enterprise governance frameworks.
Benefits
- Hybrid work arrangement with three days in the office and two days working remotely each week.
- Learning and development opportunities focused on modern AI and data technologies.
- Financial wellbeing resources supporting long-term career and personal goals.
- Mentorship opportunities and technical leadership growth.
- Full-time position with collaboration across Citi technology and business teams.
Categories
Data EngineeringML Engineering
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.