Machine Learning & AI Developer
Aon plc - Prague, Czech Republic
Posted Apr 29, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Machine Learning & AI Developer Prague, Czech Republic We are seeking a Machine Learning & AI Developer to design, build, and deploy data‑driven and AI solutions that enhance catastrophe modelling, with an emphasis on flood hazard and risk. You will work with hazard and vulnerability modellers, software engineers, and other experts to prototype and industrialise novel approaches that improve the accuracy, scalability, and resolution of Impact Forecasting's models. While the primary focus is flood, you will also support cross‑peril initiatives (e.g., wildfire, terrorism) and internal AI tools that accelerate research and development. A key initial responsibility will be contributing to an ML/AI‑based flood map quality assessment pipeline for new global flood models, replacing a manual QA process. What the day will look like Develop and implement ML/AI solutions to improve catastrophe models, focusing on flood hazard and risk. Build global flood risk quality classification models using geospatial, hydrological, and exposure datasets. Contribute to the design, development, and maintenance of the Impact Forecasting Knowledge Hub (AI chatbot), including data pipelines, model selection, and monitoring. Research and implement precipitation downscaling methods (e.g., CNNs, U‑Nets, diffusion, generative models) to improve spatial and temporal resolution of inputs. Design, run, and document proof‑of‑concept (PoC) studies, from problem framing to evaluation and recommendations. Skills and experience that will lead to success Proven experience (industry or advanced academic) in machine learning and/or applied AI, ideally on structured, time series, or geospatial data. Strong Python skills with common ML/AI and data science libraries (e.g., NumPy, pandas, scikit‑learn, PyTorch
Read the full description at english-careers-aon.icims.com. FewerJobs shows a source-linked preview and links to the original posting.
Apply link verified; last checked Jun 13, 2026.
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