Machine Learning Engineer - Retail & Buying F M D at Limango Polska

Opis stanowiska:

Najnowsze informacje o pracy w Limango Polska na stanowisko Machine Learning Engineer - Retail & Buying F M D. If the Machine Learning Engineer - Retail & Buying F M D wolny etat w Wrocław odpowiada Twoim kwalifikacjom, prześlij swoje aktualne CV bezpośrednio przez portal Jobkos.

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At limango, we’ve been shaping the world of e-commerce for over 18 years. Together with our platforms in the Holandia, Niemcy, and Austria, we are proud to be part of the OTTO Group, one of Europe’s leading e-commerce players. We offer the largest selection of products for the entire family, making us a go-to shopping destination for millions of customers across Europe. But limango is more than just a platform, it's a community. We believe in working and growing together, valuing a healthy work-life balance and fostering a culture built on respect, trust, and equality. If these values resonate with you, there’s a good chance you’ll feel right at Start with us.

We foster a culture built around hybrid work in Wrocław (2 days in the office), while staying open to remote talent who value collaboration and real impact.

Join the limango IT!

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying decisions, where you will build, optimize and productionize models operating at scale.

You will explore and implement LLM‑based methods and agentic AI approaches to enhance automation, decision support and model interpretability in real retail scenarios. A key part of your role will be building reliable, scalable data pipelines and ensuring high‑quality data flows across our ML ecosystem.

You will collaborate closely with business stakeholders, product teams and data specialists to translate complex retail challenges into measurable ML outcomes, ensuring that models deliver tangible business value. You will join a focused team of three Machine Learning Engineers and report directly to the ML Retail Team Lead.

Your Profile

Technical expertise

• Proven experience as a Machine Learning Engineer (mid–senior), working with end‑to‑end ML systems in production.
• Strong command of Python (data processing, model development, performance optimization) and SQL (analytical queries, data modelling)
• Practical experience with ML frameworks such as TensorFlow, scikit‑learn, XGBoost and/or LightGBM, including model training, tuning and deployment
• Hands‑on experience with Google Cloud Platform (GCP) services used in ML workloads (e.G., Cloud Storage, BigQuery, Vertex AI, Cloud Functions)
• Familiarity with Apache Airflow for orchestrating data pipelines and ML workflows
• Fluency in English for technical documentation and cross‑team collaboration

Nice to have

• Domain knowledge in retail, e‑commerce or supply chain, especially data patterns and operational constraints.
• Experience building and maintaining pricing, demand forecasting or other time‑series models in production environments.
• Understanding of ETL/ELT pipelines, MLOps practices, CI/CD for ML, feature stores and model monitoring.
• Hands‑on experience with Large Language Models, prompt engineering, fine‑tuning or integrating LLMs into production systems.
  
  

Personal qualities

• Strong analytical reasoning and a structured approach to designing ML solutions.
• Curiosity and willingness to experiment with emerging technologies, architectures and modelling techniques.
• Ability to explain complex ML concepts, trade‑offs and model behaviour to non‑technical stakeholders.
• Proactive, ownership‑driven mindset with focus on delivering reliable production systems.
• Comfort working with incomplete information, evolving requirements and iterative discovery.
• Team‑oriented attitude, openness to code reviews, architectural discussions and collaborative problem‑solving.

Benefits

• Hybrid working model for people from Wrocław, remote working for people from other Lokalizacjas.
• Modern office in the heart of Wrocław, our office is centrally located, close to cinemas, gyms, and a wide variety of great lunch spots.
• Private healthcare, we provide access to the best specialists for you and your loved ones through Luxmed.
• Language classes, join English, German, and Polish lessons in small groups, tailored to your current skill level.
• Multisport card, stay active and healthy with a Multisport card giving you access to numerous fitness clubs and sports facilities.
• Wellbeing Program, discover tools to improve your health and wellbeing. Join daily challenges, expert sessions, and video consultations with specialists. Build lasting healthy habits and boost your lifestyle.
• Fruit Mondays & more, we keep our kitchen stocked with fresh fruit, healthy snacks, coffee, sweets and yes, sometimes pizza too.
• Team events with great people, we love spending time together after hours,whether it’s fun office meetups or organized outings.

Sounds good?

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

Szczegóły oferty:

• Firma: Limango Polska
• Stanowisko: Machine Learning Engineer - Retail & Buying F M D
• Miejsce pracy: Wrocław
• Kraj: PL

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