Agronomic Modeller - Machine Learning Engineer

BASF SE
Köln, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German

Job location

Köln, Germany

Tech stack

Amazon Web Services (AWS)
Azure
Cloud Computing
Continuous Integration
Decision Support Systems
Python
Machine Learning
TensorFlow
PyTorch
Information Technology
XGBoost
Docker

Job description

Digital Farming provides actionable and field-specific advice to farmers, advisors and business partners worldwide for our xarvio products. For this, we build digital solutions for crop management for the xarvio FieldManager, xarvio HealthyFields, ONE SmartSpray and Horta.

  • In your new role, you develop, improve and deploy machine learning models that drive agronomic decisions with a particular focus on modelling weed growth in rice (Japan) and other key crops (South and North America).
  • Based in Cologne, you explore and support new or improved model architectures and feature developments to improve ML capabilities and are responsible for implementation.
  • Furthermore, you actively monitor and ensure model performance during season and recommend adaptations.
  • In regular exchange with experts, including digital agronomists, agronomic modelers and other machine learning engineers you continuously improve the models according to market feedback.
  • You embed models into decision support systems for weed management and enhance field specific decision logics for farmers & advisors.
  • Additionally, you interact with other technical teams within xarvio to implement and maintain endpoints.
  • Last but not least, you define data needs for model development and validation trials.

Requirements

  • relevant university degree in computer science or related subject and proven professional track record
  • proficiency in Python, writing clean and efficient code
  • experience with ML libraries and frameworks such as sci-kit learn, TensorFlow, PyTorch or XGBoost
  • familiarity with CI/CD for ML workflows, Docker and cloud platforms (AWS, GCP or Azure)
  • fluent English, good German would be an advantage
  • structured, solution-oriented working style with strong analytical skills

Benefits & conditions

  • inspiring networks for the development and implementation of your ideas (e.g. Women in Business)
  • learning opportunities for your professional and personal development
  • location-specific preventive services (e.g. medical check-up or flu vaccination) to support your health
  • 30 days of vacation as well as the possibility of special leave and sabbatical model
  • mobile working in Germany
  • flexible working time models (e.g. part-time employment or job sharing)
  • free Deutschlandticket and attractive leasing options for your personal job bike
  • subsidies for moving costs, parking fees and lunch

About the company

xarvio Digital Farming Solutions powered by BASF is at the forefront of the digital transformation of agriculture optimizing crop production. xarvio offers digital products, based on a global leading crop model platform, which deliver independent field-zone-specific agronomic advice enabling farmers to produce their crops most efficiently and sustainable. The xarvio products FIELD MANAGER and HEALTHY FIELDS are being used by farmers in multiple countries across the globe. Working at BASF Digital Farming GmbH is equally as innovative as our products: we have a global network and work with agile methodologies in a start-up atmosphere. Join our team! Learn more about xarvio at www.xarvio.com or visit any of our social media channels.

Apply for this position