Senior AI/ML Engineer

Grow with TreeferaWe are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set.

You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges.

Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one.

If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you.

Role overviewOwn the models and pipelines that turn weather and satellite data into the risk and market signals Treefera's customers rely on.

You will take questions such as where agricultural stress is building this season and how confident we can be.

Acerca de

it, and build data pipelines that move from ingestion, through modelling and evaluation, to delivery to a customer.Who you areYou take a problem end to end: an ambiguous question becomes a validated model and then a pipeline that runs repeatedly.You have built deep learning and statistical models for time series or spatial data, with real projects you can walk through in detail, including the parts that did not work.You can explain and defend every decision in the code you ship, whatever tooling helped you write it

We are enthusiastic about AI-assisted development and equally firm that you own and understand the result.

You are fluent in the Python scientific stack (PyTorch, scikit-learn, scipy, xarray) and in the practices that make work reproducible: version control, experiment tracking, orchestration, cloud infrastructure.

You interrogate data before you model it, you state your assumptions, and you are straightforward about uncertainty when you present a result to people who will act on it.

Requisitos

(if applicable):Experience with weather and climate data: reanalysis products, numerical weather fo...