AI Engineer
- Location PRAGUE (CZE)
- Contract Full time / Part time
- Start day Start ASAP
At Meteopress, we build technology with real-world impact. We’re looking for people who take ownership, enjoy solving practical challenges, want to be part of a team that builds things that matter, and aren’t afraid of a few clouds along the way.
What you’ll do
- Train and deploy machine learning models on radar, satellite, and NWP data
- Design pipelines for real-time weather prediction and nowcasting (Python, Airflow)
- Collaborate with Meteorologists, Radar Engineers and Software Devs
- Push models to production (PyTorch, TensorFlow, ONNX, etc.)
- Track experiments and manage models using tools like ClearML
- Apply digital signal processing techniques to radar and weather data
- Experiment, test, break things (intelligently), and help build smarter forecasts
What we’re looking for
- Solid background in machine learning (you know more than just calling .fit())
- Strong Python, with experience in frameworks like PyTorch or TensorFlow
- Bonus points for: time-series, remote sensing, radar or weather models
- Able to work independently and communicate clearly
- Curiosity, creativity, and a healthy disrespect for how it has always been done
What you’ll get
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Real impact — your models may help save lives
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Access to rich, unique datasets (our own radar network + global sources)
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A tight-knit team that loves sharing ideas, code, and bad weather jokes
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Small team, direct communication, no unnecessary bureaucracy
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Work on technology used around the world
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Flexible work setup (including home office)
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Free lunches
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On-site gym
Get to know us better
We’re Meteopress – a team of engineers, scientists, and weather nerds building our own radar hardware and AI-powered forecasting systems used around the world. From airport safety to typhoon detection, our tech makes a real difference.
What sets us apart is the real-world impact of our work. We build systems that people rely on every day — in environments where accuracy and reliability truly matter.
You’ll work on practical challenges, collaborate across disciplines, and see the results of your work in action. If you like taking ownership and figuring things out, you’ll fit right in.