Teams at Klivvr

Design user-centered, accessible interfaces for consumer-facing digital products. Conduct user research, create wireframes, prototypes, and pixel-perfect designs, maintain the design system, and collaborate with Product and Engineering to iterate solutions.

Lead end-to-end data science projects—frame problems, build and deploy statistical and ML models for segmentation, credit scoring, and fraud; analyze large transactional datasets, monitor model health, and communicate results across teams while contributing to tooling and MLOps practices.

Design, build, and maintain scalable ETL/ELT pipelines, data warehouses/lakes, and streaming systems. Partner with product and analytics teams to deliver reliable, governed data solutions. Monitor and optimize infrastructure for performance and cost, ensure data security and compliance, and mentor junior engineers while contributing to data engineering best practices.