Machine Learning Engineer (personalization) m/f/d

Nasze wymagania:
3-5+ years of professional experience building, training, validating, and deploying ML solutions in production environments.
Very good knowledge of Python programming, SQL, and Git.
Experience in training and validating ML solutions (decision trees, neural nets, regression models).
Ability to scale solutions according to infrastructure or business requirements.
Good understanding of data lake / lakehouse architecture.
Good knowledge of English (C1) (work in an international environment).

Mile widziane:
Professional experience with recommender systems and NLP.
Previous experience in ecommerce data ecosystems.
Professional experience with PySpark programming and the Databricks Lakehouse platform ecosystem.
Experience in structured streaming and Scala programming.
Familiarity with MLOps environments such as mlflow.

O projekcie:
As a Senior Machine Learning Engineer in our Machine Learning Shop team, you will own the business-critical logic behind our campaign-based flash sale model.
Your work will directly impact how we rank campaigns based on customer interests and category affinities, optimize our product recommender systems, and prevent churn through smart communication models.
You will work within a modern tech stack world in a well-rehearsed, agile environment alongside dedicated Product Owners, Data Engineers, and Web Developers.

Zakres obowiązków:
Building and deploying data-driven and machine learning solutions for portal personalization and campaign ranking.
Taking care of the whole machine learning process – verifying data quality, choosing optimal algorithms, feature engineering, model validation with correct metrics, and interpretability.
Monitoring, maintaining, scaling, and updating existing data / ML pipelines.
Building solutions following best software practices – clean code, testing, and automatic deployments.
Working closely with data engineers, data scientists, and development teams in building our whole ML / data-driven infrastructure – reliable data pipelines and shared, clean data sources.
Explaining and recommending optimal data-driven / ML solutions to both business stakeholders and developer teams.
Sharing and improving ML / MLOps knowledge within the organization.

Oferujemy:
Hybrid or remote work model
Enjoy the flexibility to work either in a hybrid model -with 2 days per week in our Wrocław office (you choose the days) if you’re based locally - or fully remotely from anywhere in Poland.
Flexible start to your day
Flexible start times let you plan your working day in a way that fits your schedule.
Real benefits you’ll actually use
Enjoy our products your way, for yourself or your loved ones. Plus, a wellbeing platform with access to health programs, webinars and challenges, as well as private medical care (Lux Med) for you and your family and a Multisport card.
Office vibes we enjoy
A treadmill under a desk, ping-pong table, popcorn machine, Xbox console or a quick break on a massage mat - small things that make your day better. You’re also welcome to bring your child or pet to the office - we genuinely love having them around 😊
Learning & development
Access to language learning (English, German, Polish) via an app, along with a wide range of courses, podcasts and learning tools. You’ll also grow through international projects, collaboration and opportunities for occasional business trips that give you exposure to different teams and perspectives.
Eco in action
From Brita water dispensers instead of plastic bottles to eco-friendly document disposal - we focus on everyday habits that make a real difference. We’ve even planted our own Limango tree to support green spaces in Wrocław.
Activities and Events
From sports events to team gatherings, company wide events or casual afterwork events in our office - we like to stay active, spend time together and keep things social, in a natural and easy-going way.