About the Client
We are one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
About the Role
Are you passionate about building AI-powered solutions that drive business value? Do you thrive at the intersection of product ownership and technical engineering? Join us to shape the future of AI applications that transform how businesses operate and make decisions!
Our mission is to harness the power of Data Analytics and Generative AI to create a competitive advantage for our business. By generating actionable insights, we aim to enhance data-driven decision-making and improve business outcomes.
Responsibilities
As an AI Solution Engineer, you'll contribute the development of AI solutions from concept to production. You'll blend technical expertise with product management skills to deliver user-centric AI applications that solve real business problems. This role offers a unique opportunity to drive innovation while ensuring technical excellence.
Own and drive AI product development from initial concept through to production deployment and continuous improvement
Collaborate with cross-functional teams and stakeholders to translate business requirements into technical specifications and actionable plans
Design and develop user-centric AI applications using Python/PySpark, emphasizing exceptional user experience and compelling data storytelling
Drive and shape data & AI products from business value concepts to production.
Stay up to date with the latest GenAI technologies and best practices to drive sustainable and efficient data products.
Requirements
2+ years of experience building and deploying AI/ML solutions in production environments
Strong proficiency in Python and experience with data processing frameworks like PySpark
Experience in product ownership or product management for technical products
Demonstrated ability to build data-driven applications with a user-focused mindset and storytelling with data
Independent self-learner that can navigate ambiguity
Good fluent communication in English
Nice to Have Skills
Knowledge of Azure, Microsoft Power BI and Typescript
Project management abilities within agile frameworks
Experience with Machine Learning and familiarity with Large Language Models (LLMs)