Jobs at Kadel Labs

Leads enterprise data modeling and architecture initiatives using dimensional modeling, normalization, medallion architecture, PySpark, SQL, ASQL, and Databricks. Designs end-to-end ingestion and reporting-layer solutions, performs data profiling and quality assessments, manages lineage and metadata, creates architectural documentation and UAT materials, and mentors data modeling and engineering teams while collaborating with business and technical stakeholders.

Develop and maintain cross-platform React Native applications for Android and iOS. Implement offline-first synchronization, REST and authentication integrations, push notifications, GPS, camera, file uploads, and call-center features. Manage client-specific configurations, optimize performance, write testable code, debug hybrid/native issues, and collaborate with backend and product teams in an agile environment.

Leads DSA network expansion, loan sourcing, and revenue growth across personal, business, MSME, and other lending products. Manages bank and NBFC empanelment, institutional relationships, digital lending partnerships, compliance, MIS reporting, performance targets, training, incentives, and payout reconciliation. Coordinates with product and technology teams to improve digital loan processing and conversion while ensuring RBI DSA, KYC, and lender compliance.

Design and implement scalable Snowflake data architectures, optimize platform performance, develop data processing workflows with Snowpark, Python, and PySpark, and lead Hadoop-to-Snowflake migrations. The role defines target-state data warehouse architectures, establishes design standards, improves query and warehouse efficiency, ensures data integrity, and provides architectural guidance for enterprise cloud data modernization initiatives.

Designs, automates, and maintains scalable Azure data pipelines supporting machine learning and analytics. Manages model datasets, refresh workflows, data preparation, cleansing, validation, and quality checks. Optimizes processing for reliable data availability and operational efficiency, supports model monitoring and drift detection, and collaborates with data scientists, ML engineers, and regional teams on production operations, documentation, and handovers.

Build and maintain loss forecasting models for a US credit card portfolio using roll-rate, vintage, CECL, baseline, and stress-scenario methodologies. Develop and evaluate credit strategies across line management, authorization, and collections; assess P&L and credit-risk impacts; analyze forecast variances; apply AI/ML techniques; and communicate recommendations to senior stakeholders while collaborating with risk, finance, business, and technology teams.

Design, develop, and deploy production-grade AI and Generative AI applications using Python, LLMs, RAG, AI Agents, and MCP. Build secure REST APIs, scalable backend architectures, microservices integrations, and enterprise AI solutions. Optimize performance and reliability, participate in architecture and code reviews, mentor technical teams, and collaborate with AI, data science, product, and cross-functional stakeholders using Agile practices.

Develop end-to-end features for a production platform across Java and Spring Boot backend services and React frontends. Responsibilities include REST API and database schema design, Liquibase migrations supporting Oracle and PostgreSQL, UI integration, messaging and cloud service integrations, OAuth2/OIDC security, deployment, testing, code reviews, and collaboration with product, infrastructure, and mobile teams.

Design, develop, and deploy production-grade AI/ML applications using Python, Django, and FastAPI. Build secure APIs, microservices, cloud-native architectures, and AI workflows; integrate ML models and LLMs into enterprise applications; conduct model testing and validation; extend AI frameworks; and mentor junior engineers. Collaborate with product, data science, infrastructure, and security teams through Agile development, code reviews, and technical planning.

Owns risk data pipelines, portfolio management information systems, and recurring reporting for a US credit card portfolio. Builds automated dashboards covering delinquency, roll rates, vintage curves, and portfolio KPIs; develops SQL and Python pipelines; performs data quality checks and reconciliations; resolves source-data issues; and uses AI tools to automate reporting and enable self-service analytics.