Olmatic GmbH
AI & ML Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Stuttgart, München
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LIlimango
Machine Learning Engineer – Retail & Buying(m/w/x)
München
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Developing dynamic pricing and demand forecasting models for online retail, including LLM exploration. End-to-end ML systems in production experience required. Hybrid work, creative freedom.
Anforderungen
- Proven experience as Machine Learning Engineer (mid–senior)
- End-to-end ML systems in production experience
- Strong command of Python
- Strong command of SQL
- Practical experience with ML frameworks (TensorFlow, scikit-learn, XGBoost, LightGBM)
- Model training, tuning, and deployment experience
- Hands-on experience with GCP ML services
- Familiarity with Apache Airflow
- Fluency in English
- Domain knowledge in retail, e-commerce, or supply chain
- Experience building production time-series models
- Understanding of ETL/ELT pipelines
- Understanding of MLOps practices
- Understanding of CI/CD for ML
- Understanding of feature stores
- Understanding of model monitoring
- Hands-on experience with Large Language Models
- Prompt engineering experience
- LLM fine-tuning or integration experience
- Strong analytical reasoning
- Structured approach to designing ML solutions
- Curiosity and willingness to experiment with emerging technologies
- Ability to explain complex ML concepts to non-technical stakeholders
- Proactive, ownership-driven mindset
- Focus on delivering reliable production systems
- Comfort working with incomplete information
- Comfort working with evolving requirements
- Comfort working with iterative discovery
- Team-oriented attitude
- Openness to code reviews
- Openness to architectural discussions
- Openness to collaborative problem-solving
Aufgaben
- Design and develop advanced machine learning solutions
- Maintain and optimize ML models at scale
- Build models for dynamic pricing and demand forecasting
- Implement data-driven buying decisions
- Explore and implement LLM-based methods
- Enhance automation and decision support
- Improve model interpretability in real retail scenarios
- Build reliable and scalable data pipelines
- Ensure high-quality data flows across ML ecosystem
- Collaborate with business stakeholders and product teams
- Translate complex retail challenges into measurable ML outcomes
- Ensure models deliver tangible business value
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- TensorFlow
- scikit-learn
- XGBoost
- LightGBM
- Google Cloud Platform (GCP)
- Cloud Storage
- BigQuery
- Vertex AI
- Cloud Functions
- Apache Airflow
- Large Language Models (LLMs)
Benefits
Flexibles Arbeiten
- Hybrid working model
- Remote working
Lockere Unternehmenskultur
- Open, team-oriented atmosphere
- Creative freedom
Parkplatz & Pendelvorteile
- Centrally located office
Weiterbildungsangebote
- Language courses
- Tailored development programs
Öffi Tickets
- Subsidized MVG ticket
Gesundheits- & Fitnessangebote
- EGYM Wellpass
Firmenfahrrad
- JobBike
Team Events & Ausflüge
- Company events
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens limango erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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LIlimango
Machine Learning Engineer – Retail & Buying(m/w/x)
München
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Developing dynamic pricing and demand forecasting models for online retail, including LLM exploration. End-to-end ML systems in production experience required. Hybrid work, creative freedom.
Anforderungen
- Proven experience as Machine Learning Engineer (mid–senior)
- End-to-end ML systems in production experience
- Strong command of Python
- Strong command of SQL
- Practical experience with ML frameworks (TensorFlow, scikit-learn, XGBoost, LightGBM)
- Model training, tuning, and deployment experience
- Hands-on experience with GCP ML services
- Familiarity with Apache Airflow
- Fluency in English
- Domain knowledge in retail, e-commerce, or supply chain
- Experience building production time-series models
- Understanding of ETL/ELT pipelines
- Understanding of MLOps practices
- Understanding of CI/CD for ML
- Understanding of feature stores
- Understanding of model monitoring
- Hands-on experience with Large Language Models
- Prompt engineering experience
- LLM fine-tuning or integration experience
- Strong analytical reasoning
- Structured approach to designing ML solutions
- Curiosity and willingness to experiment with emerging technologies
- Ability to explain complex ML concepts to non-technical stakeholders
- Proactive, ownership-driven mindset
- Focus on delivering reliable production systems
- Comfort working with incomplete information
- Comfort working with evolving requirements
- Comfort working with iterative discovery
- Team-oriented attitude
- Openness to code reviews
- Openness to architectural discussions
- Openness to collaborative problem-solving
Aufgaben
- Design and develop advanced machine learning solutions
- Maintain and optimize ML models at scale
- Build models for dynamic pricing and demand forecasting
- Implement data-driven buying decisions
- Explore and implement LLM-based methods
- Enhance automation and decision support
- Improve model interpretability in real retail scenarios
- Build reliable and scalable data pipelines
- Ensure high-quality data flows across ML ecosystem
- Collaborate with business stakeholders and product teams
- Translate complex retail challenges into measurable ML outcomes
- Ensure models deliver tangible business value
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- TensorFlow
- scikit-learn
- XGBoost
- LightGBM
- Google Cloud Platform (GCP)
- Cloud Storage
- BigQuery
- Vertex AI
- Cloud Functions
- Apache Airflow
- Large Language Models (LLMs)
Benefits
Flexibles Arbeiten
- Hybrid working model
- Remote working
Lockere Unternehmenskultur
- Open, team-oriented atmosphere
- Creative freedom
Parkplatz & Pendelvorteile
- Centrally located office
Weiterbildungsangebote
- Language courses
- Tailored development programs
Öffi Tickets
- Subsidized MVG ticket
Gesundheits- & Fitnessangebote
- EGYM Wellpass
Firmenfahrrad
- JobBike
Team Events & Ausflüge
- Company events
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens limango erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
limango
Branche
Retail
Beschreibung
The company is a unique online destination for families, offering a wide selection of fashion, homeware, toys, and more.
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