• Design, build, and maintain Power BI dashboards and reports to support insurance analytics functions including risk assessment, claims analysis, underwriting performance, and actuarial reporting.
• Translate complex insurance data and statistical trends into clear, interactive visualizations that enable strategic decision-making by non-technical stakeholders.
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Practical experience with several of the following: microservices architecture, AWS / public cloud, REST API design, CI/CD, and Infrastructure-as-Code.
Strong conceptual and analytical thinking, supported by hands-on development experience across multiple technologies.
Ability to take ownership, collaborate across cross-functional teams, and communicate clearly in an agile environment.
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Stay updated with the latest advancements in LLMs, Generative AI, and machine learning technologies
Demonstrated passion for Generative AI and its application to real-world business problems; AI related hobby projects with strong developer background also counts
Experience with Python programming and scripting
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Practical experience with several of the following: microservices architecture, AWS / public cloud, REST API design, CI/CD, and Infrastructure-as-Code.
Strong conceptual and analytical thinking, supported by hands-on development experience across multiple technologies.
Ability to take ownership, collaborate across cross-functional teams, and communicate clearly in an agile environment.
...
Stay updated with the latest advancements in LLMs, Generative AI, and machine learning technologies
Demonstrated passion for Generative AI and its application to real-world business problems; AI related hobby projects with strong developer background also counts
Experience with Python programming and scripting
...
Conduct rigorous testing and provide ongoing maintenance for applications to uphold performance and reliability standards.
Cultivate deep insights into clients' businesses and industries, leveraging this understanding to identify and capitalize on new opportunities for innovation and improvement.
Foster strong client relationships through clear and effective communication, collaborating closely with both clients and superiors to achieve project success.
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Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
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