Agronomic Modeller - Machine Learning Engineer (m/f/d)

WELCOME TO BASF
We are BASF in agriculture and everything we do, we do for the love of farming. Our solutions are purpose-designed for different crop systems, connecting seeds and traits, crop protection, digital tools and sustainability approaches. We strive to deliver the best possible outcomes for farmers, growers and other stakeholders along the value chain. We do everything in our power to build a sustainable future for agriculture by connecting innovation, customers and society. #ForTheLoveOfFarming #TheBiggestJobOnEarth

Take a look at our Agricultural Solutions vision & mission!

WHAT YOU CAN EXPECT
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.

WHAT YOU OFFER
* 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

WHAT WE OFFER
* 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

HOW TO REACH US
* Lea Sophie Guenther (Talent Acquisition), lea-sophie.guenther@basf.com, Tel.:+49 30 2005-56150 will be happy to answer your questions for this position. You are also welcome to book an online appointment (technical questions cannot be answered in this meeting).

ABOUT US
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 or visit any of our social media channels.

Diversity is our greatest strength!
Become a part of our winning formula for success and develop the future with us - in a global team that embraces inclusion and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.