Machine Learning Engineer (personalization) m/f/d

Our requirements

• 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).

Optional

• 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.

Your responsibilities

• 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.

About the project

This is how we organize our work

This is how we work on a project

• Clean Code
• code review
• documentation

Development opportunities we offer

• intracompany training
• soft skills training
• substantive support from technological leaders
• technical knowledge exchange within the company

What we offer

• 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.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• remote work opportunities
• flexible working time
• fruits
• corporate products and services at discounted prices
• integration events
• corporate sports team
• video games at work
• leisure zone
• snacks (e.g. popcorn machine)

Recruitment stages

• 1.
  Short call with recruiter
• 2.
  Technical interview
• 3.
  Final interview

Limango Polska Sp. z o.o.