Lead end-to-end AI/ML projects from ideation to deployment, focusing on medical synthesis and LLM-driven features. Collaborate with cross-functional teams to design scalable, robust machine learning solutions that improve system accuracy and business outcomes.
You will design and build a complex multi-tenant enterprise SaaS application while maintaining the backend REST server that supports machine learning and BI data. You will also collaborate with product, data science, and UX teams to shape the product roadmap and drive technical best practices.
You will build and scale production-ready machine learning models for claim time series forecasting and NLP text understanding. Additionally, you will perform exploratory data analysis to identify ML opportunities and translate complex client business problems into technical solutions.
Architect and implement AI-native backend systems to integrate EvolutionIQ's products into CCC's auto casualty business. This involves modernizing legacy platforms and setting engineering best practices through design docs and code reviews.
Build and enhance enterprise SaaS applications by writing production code and modernizing legacy platforms. Partner with Product, Data Science, and Data Engineering teams to deliver scalable backend services and intuitive applications.
Manage the full sales life cycle for Property & Casualty SaaS solutions, from prospecting and identifying needs to closing complex enterprise deals. Drive business growth by cultivating executive-level relationships and collaborating with product management to refine strategic direction.
The SME will validate AI-generated outputs and provide expert feedback on product features and user experience for a Workers' Compensation tool. Responsibilities include data labeling, prompt editing, and offering insights into claims management workflows.
