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About the role
- Must be proficient with Python and understand Spark and the Hadoop ecosystem. - Software engineering and cloud backend development, recent hands-on work building GenAI/RAG applications (Azure, OpenAI, LangChain/LangGraph). - Must be willing to learn how our large-scale SaaS data analytics platform works. - Must have working knowledge of AI models and how they differ from training traditional ML models. - Experience with development best practices (e.g., writing tests and documentation, GIT) - Experience deploying AI systems into production environments, including model monitoring and maintenance - Experience with Data Science / Statistics (e.g., knowledge about evaluation metrics and concepts like overfitting, train/test split) - A continuous learner who remains open-minded and curious about recent technologies. - [Nice-to-have] Familiarity with the (re) insurance domain - [Nice-to-have] Familiarity with the TypeScript language Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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