Build and operate the ML lifecycle platform to enable reliable production deployment of AI models. This includes owning CI/CD pipelines, model observability, and managing cloud-native infrastructure using Kubernetes and Terraform.
dv01
5 Remote Job Openings at dv01
Build client-facing APIs and AI-powered tools to make structured finance data more accessible. Model complex financial transactions by extracting deal structures from legal documents and developing on-demand reporting tools.
Reverse engineer structured finance transactions and set up deal waterfalls for various asset classes based on offering memorandums. Collaborate with engineering and QA teams to develop productized solutions and improve data quality for cashflow projections.
You will act as a bridge between engineering and analyst teams to manage and scale business logic within the data pipeline. You will also work directly with internal stakeholders and customers to ensure the integrity and utility of integrated datasets.
You will bring transparency to consumer lending and other asset classes by enabling customers to extract insights from large datasets. You will collaborate with diverse teams to create great products and gain knowledge of the financial industry.
