Job Description:

Allegro Pay is Central Europe’s largest and fastest-growing FinTech – the only place where financial solutions can be created at such a large scale, using state-of-the-art technology. We work on purchase financing and payment methods used daily by customers of Allegro, the most popular shopping platform in Poland and one of the largest e-commerce companies in Europe. We seek talented people who want to create powerful and robust solutions supporting a product with over a dozen million active users.

As a Machine Learning Engineer, you will be responsible for the machine learning / data platform in Allegro Pay and support Data Scientists in building machine learning models, making business-critical decisions, and enabling shipping to production while ensuring their high availability and performance.

In your daily work you will handle the following tasks:
- Developing a modern MLOps ecosystem aimed at automating the process of building and deploying machine learning models.
- Designing and implementing a modern platform for training predictive models (classifiers,



deep neural networks, graph models).
- Deploying models to production and optimising deployment pipelines, to enable Data Scientists’ self-service.
- Managing, monitoring, and recalibrating models deployed to production.
- Supporting work on our Feature Store - an application providing predictors for models operating in production.
- Finding synergies and building connectors with FinTech AI platform, enabling agentic workflows to interact with our models and features.

Technologies you’ll encounter on the job: Python, Snowflake, Airflow, Azure, Kedro, MLFlow, .NET, Kubernetes, Tableau.

Why is it worth working with us, and what sets us apart:
- We are an experienced team that is not afraid of hard problems and is constantly looking for development opportunities. We deploy our models at a scale found nowhere else in Poland.
- We approach the development of analytical solutions with an engin

📌 Machine Learning Engineer (Italia)
🏢 ALLEGRO
📍 Italia