This role acts as a bridge connecting transactional systems with analytical platforms to complete the loop from data capture to decision taking
Job Summary
This role acts as a bridge connecting transactional systems with analytical platforms to complete the loop from data capture to decision taking.
You will apply your analytical brain and knowledge of MLOps, big data processing, and AI models to serve up queryable insights as high-quality, permissioned APIs.
The team values technical excellence and practical leadership, prioritizing quality and stability through close collaboration with product owners.
Matching Summary
This role acts as a bridge connecting transactional systems with analytical platforms to complete the loop from data capture to decision taking.
Skills & Requirements
Must-have
Proficient in Python programming
Experience with Spark and Hadoop ecosystem
Hands-on GenAI and RAG application development
Knowledge of MLOps and model monitoring
Agentic AI workflow design and implementation
Nice-to-have
Familiarity with reinsurance domain knowledge
Working knowledge of TypeScript language
Experience with Azure cloud platform
Understanding of insurance risk transfer concepts
Cross-functional collaboration skills
Key Requirements
Must be proficient with Python
Understand Spark and Hadoop ecosystem
Recent hands-on work building GenAI/RAG applications
Experience deploying AI systems into production
Knowledge of evaluation metrics and overfitting concepts