Via temporary employment: Machine Learning Engineer - Agricultural Applications (m/f/d)
Via temporary employment: Machine Learning Engineer - Agricultural Applications (m/f/d)
Via temporary employment: Machine Learning Engineer - Agricultural Applications (m/f/d)
Via temporary employment: Machine Learning Engineer - Agricultural Applications (m/f/d)
John Deere
Maschinenbau, Betriebstechnik
Kaiserslautern
- Art der Anstellung: Vollzeit
- 66.000 € – 83.000 € (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
Via temporary employment: Machine Learning Engineer - Agricultural Applications (m/f/d)
Über diesen Job
Job Description
The European Technology Innovation Center (ETIC) of John Deere is part of a global R&D network in Kaiserslautern. Its focus is on the research on and development of future trends and technologies in the area of mobile agricultural and construction machines in close collaboration with diverse research institutes.
The John Deere Intelligent Solutions Group in Kaiserslautern is offering a contingent/leasing position ("Arbeitnehmerüberlassung") for a
Machine Learning Engineer – Agricultural Applications (m/w/d)
We are seeking a passionate and innovative Machine Learning Engineer to join our Precision Tech Automation & Sensing team. In this role, you will design, develop, and deploy machine learning models that revolutionize agricultural operations—from real-time sensing to perception-based automation that make John Deere equipment easier to operate and more productive in the field.
You’ll work alongside agronomists, data scientists, and software engineers to bring intelligent solutions to the field, leveraging one of the world’s richest agricultural data ecosystems.
What you can look forward to:
- Attractive compensation package
- Hybrid work in a 35-hour workweek
- Excellent social benefits
- Flexible and modern working environment, as well as development and training opportunities
- Work-life balance with a variety of family-friendly offerings
These are your responsibilities:
- Develop and deploy ML models for applications such as plant identification, crop classification, and material properties.
- Collaborate with cross-functional teams to integrate ML solutions into agricultural machinery.
- Analyze large-scale agronomic and machine datasets to extract actionable insights.
- Contribute to the design of data pipelines and MLOps infrastructure for scalable model deployment.
- Participate in field trials and validation of ML-driven features in real-world agricultural environments.
You bring:
- Master's in Computer Science or related field
- Strong foundation in machine learning principles
- Proficiency in Python and ML frameworks
- Experience with data preprocessing and analysis
- Effective cross-functional collaboration skills
- Curiosity and adaptability in dynamic environments
If you see yourself in this description, we look forward to receiving your online application through our applicant portal!
Classification: ERA EG 10
ERA-Job: RP: Produktsoftwareentwickler/in 2 (Job Code 06.02.03.20b)
John Deere Mannheim
Human Resources Department
Kirana Spingies
Department
Thorsten Keuler
Email me jobs like this
Gehalts-Prognose
Bewertung von Mitarbeitenden
Gesamtbewertung
Basierend auf 569 BewertungenVorteile für Mitarbeitende
Flexible Arbeitszeiten
Home-Office
Kantine
Restaurant-Tickets
Kinderbetreuung
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
Betriebsarzt
Training
Parkplatz
Günstige Anbindung
Vorteile für Mitarbeitende
Firmenwagen
Smartphone
Gewinnbeteiligung
Veranstaltungen
Privat das Internet nutzen
Hunde willkommen
Unternehmenskultur
Unternehmenskultur
569 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei John Deere als ausgeglichen zwischen traditionell und modern.Der Branchen-Durchschnitt geht übrigens in Richtung modern
