Senior ML Engineer — Personalization & Campaign Ranking

Limango Polska; Poland; Hybrid; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Hybrid/Remote work

Health & wellness benefits

Private medical care (Lux Med)

Multisport card

Language courses

Learning & development

Team events

Job summary

Limango Polska is seeking a Senior Machine Learning Engineer to own data-driven, ML-driven ranking and personalization for our family-focused e-commerce platforms across Poland, Germany, Austria, and the Netherlands. You’ll work with an international team to advance our self-built online shop and optimize recommender systems.

You will drive ML pipelines, from data quality checks to deployment, in a modern tech stack with agile product ownership, data engineers, and web developers, in a

Qualifications

• 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).

Responsibilities

• Building and deploying data-driven and machine learning solutions for portal personalization and campaign ranking.
• Verifying data quality, choosing optimal algorithms, feature engineering, model validation with correct metrics, and interpretability.

Skills

Python

SQL

Git

ML in production

Feature engineering

Tools

PySpark

Databricks

mlflow

Scala

Job description

Limango Polska is seeking a Senior Machine Learning Engineer to own data-driven, ML-driven ranking and personalization for our family-focused e-commerce platforms across Poland, Germany, Austria, and the Netherlands. You’ll work with an international team to advance our self-built online shop and optimize recommender systems.

You will drive ML pipelines, from data quality checks to deployment, in a modern tech stack with agile product ownership, data engineers, and web developers, in a