Machine Learning Engineer (personalization) m/f/d

limango is a European platform focused on curated value shopping for families. As part of the OTTO Group - one of Europe’s leading e-commerce players - we connect families with inspiring brands, great deals, and products they truly love. Our ambition is to strengthen our position as one of Europe’s leading discount e-commerce players for families and beyond.

Today, limango operates across Germany, Poland Austria, and the Netherlands, offering one of the largest selections for the whole family: from fashion and accessories to toys, outdoor, cosmetics, home and travel offers.

Behind the platform is a team that values a good atmosphere, trust, collaboration, flexibility and real impact.  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 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.

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

• 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.

We look forward to receiving your application and can't wait to get to know you. Apply now! :)

Tech stack

• Machine Learning
• data lake / lakehouse architecture
• Git
• SQL
• Python