Overview
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 and/or TensorFlow).
- Hands‑on experience with deep learning architectures (e.g., CNNs); exposure to image‑like or gridded data architectures (e.g., U‑Net) is a plus.
- Solid understanding of ML fundamentals (training, validation, overfitting, metrics, hyperparameter tuning).
- Experience with large, complex datasets, including data cleaning, feature engineering, and efficient processing.
Desirable skills and experience
- Experience with geospatial data and tools (e.g., xarray, rasterio, geopandas, GDAL) or climate / environmental / remote sensing datasets.
- Knowledge of hydrology, meteorology, climate science, or natural catastrophe modelling.
- Familiarity with generative models (e.g., diffusion models, GANs) for downscaling or image‑to‑image tasks.
- Experience building or integrating chatbots or retrieval‑augmented generation (RAG) systems using LLMs.
- Exposure to MLOps / productionisation or cloud environments (preferably Azure/Databricks).
How we support our colleagues
In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well.
Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.
Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.
Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.
We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience.
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