Machine Learning Engineer (personalization) m/f/d

limango GmbH - A member of the otto group; Wrocław; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid or remote work

Wellbeing platform

Private medical care

Multisport card

Language learning (EN/DE/PL)

Job summary

Limango Polska Sp. z o.o. in Wrocław is hiring a Machine Learning Engineer to own the business-critical logic behind our campaign-based flash sale model and to drive personalization and recommender systems.

Join an agile, international team, work hybrid or remote from anywhere in Poland, and contribute to building scalable ML/data pipelines with modern tools. You will collaborate with Product Owners, Data Engineers, and Web Developers, benefit from flexible start times, wellbeing programs, and

Qualifications

• 3–5+ years of professional experience building, training, validating, and deploying ML solutions in production environments.
• Strong Python, SQL, and Git proficiency.
• Experience with training/validating ML models (trees, neural nets, regression).
• Ability to scale ML solutions to meet infra and business needs.
• Good understanding of data lake / lakehouse architectures.
• English proficiency at C1 for an international environment.

Responsibilities

• Build and deploy data-driven and ML solutions for portal personalization and campaign ranking.
• Oversee the ML lifecycle: data quality, algorithm selection, feature engineering, model validation, and interpretability.
• Monitor, maintain, scale, and update ML pipelines and data pipelines.
• Write clean code, implement tests, and enable automated deployments.
• Collaborate with data engineers/scientists and dev teams to maintain reliable data infrastructure.
• Explain and recommend ML solutions to business stakeholders and developers.

Skills

Python

SQL

Git

ML in production

Scaling ML solutions

Tools

PySpark

Databricks Lakehouse

MLflow

Scala

Job description

About Us

limango is a European shopping platform offering curated deals for families. As part of the OTTO Group, one of Europe's leading e-commerce players, we connect customers with inspiring brands, great offers, and products they love. Our goal is to strengthen our position as a leading discount e-commerce platform in Europe.

About Us

limango is a European shopping platform offering curated deals for families. As part of the OTTO Group, one of Europe's leading e-commerce players, we connect customers with inspiring brands, great offers, and products they love. Our goal is to strengthen our position as a leading discount e-commerce platform in Europe.

We operate in Germany, Poland, Austria, and the Netherlands, offering a wide range of products - from fashion and accessories to toys, home, cosmetics, and travel.

Our mission is not only to achieve business goals, but above all to build a work environment where everyone feels valued and motivated to grow. Whether we work from the office, home, or remotely from cities big and small across Germany and Poland, we stay connected through a culture built on a good atmosphere, flexibility, collaboration, and real impact - keeping our team spirit strong wherever we are.

We foster a hybrid-first culture in Munich and Wrocław (2 days in the office), while staying open to remote talent who value the same way of working.

JOIN THE LIMANGO IT!

Join the limango IT and Product Development team! In the limango IT and Product development you get the chance to contribute your own ideas and know-how to maintain and develop our highly frequented, self built online shop for our markets in Poland, Germany, Austria and the Netherlands. Together with our experienced and international development teams you will bring our shop sites to the next level.

As a 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.

Your Main Tasks And What We Expect

• 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.

What We Expect

Who we're looking for:

• 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).

Nice To Have

• 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.

What We Offer & What You Can Expect

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.

SOUNDS GOOD FOR YOU?

We look forward to receiving your complete application and can't wait to get to know you.

Up to date information on the internal reporting is publicly available and can be found at limango.pl/compliance.

At Limango Polska Sp. z o.o. the remuneration regulation have been adopted, providing for the possibility of obtaining an additional jubilee award and use (under certain conditions) of certain benefits (a sport card, medical insurance, life insurance). The remuneration is paid in arrears, on the last day of the calendar month. Any other part of the employee's remuneration is determined by the employment contract.