Company Overview
As the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk, we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.
Responsibilities
- Serve as the technical lead for cross-functional GenAI/ML projects defining patterns, reviewing code, and ensuring robust, scalable deployments that help our central units generating more and better business
- Build AI capabilities and infrastructure to ensure efficient use of GenAI, NLP, and ML from prototype to production
- Support business units in applying the latest (Gen-)AI methods and act as an expert for AI know-how, tools and methods
- Communicate complex AI concepts and strategic insights effectively across various stakeholder levels, tailoring messages to different audiences and supporting decision-making
- Identify and assess AI innovations and technologies that could offer advantages in the insurance space
- Network with existing quantitative units, and with IT to create an AI community
- Ensure technical excellence and scalability of our AI solutions
Requirements
- University degree (Masters or higher) in Computer Science, Physics, Mathematics, Statistics, or a related field
- Extensive theoretical and practical expertise in GenAI and deep learning techniques. Strong knowledge of related technologies, software, and the latest developments in models, libraries, and frameworks
- At least 3 years of hands-on experience in AI, Machine Learning, Data Science in a professional setting, ideally with a focus on AI
- Proficiency in coding (Python), AI/ML frameworks (e.g. PyTorch, JAX), Large Language Models (LLMs) and LLM Applications (like Agentic/Agent setups)
- Deep knowledge and experience with cloud platforms and AI infrastructure (e.g., Azure, Databricks, Kubernetes) as well as Software Development Lifecycle and Agile Project management in AI/Data Science/Research environments
- Strong analytical skills and a strategic mindset with the ability to derive actionable insights from complex data
- Communication skills, with the ability and willingness to convey complex AI concepts to diverse stakeholders and drive cross-functional collaboration
- Proven ability to collaborate across teams, particularly in business-driven environments
- Experience in the insurance, risk management, or financial services industry is a plus
- Fluency in English (spoken and written) and willingness to travel as needed
Benefits
- Competitive salary
- Retirement provision
- Work-life balance
- Health management
- Hybrid working