BASF
Internship Agricultural Data Analyst(m/w/x)
Full-timeInternshipOn-site
from 1,000 - 1,500
Köln
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BABASF Digital Farming GmbH
Agronomic Modeller - Machine Learning Engineer(m/w/x)
Köln
Full-time, Part-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Modeling weed growth in rice and key crops for global digital farming platforms. Proficiency in Python and clean code writing required. Mobile working in Germany and location-specific preventive health services.
Requirements
- Degree in computer science, related subject, or professional track record
- Proficiency in Python and clean code writing
- Experience with ML libraries and frameworks
- Familiarity with CI/CD, Docker, and cloud platforms
- Fluent English and advantageous German skills
- Structured, solution-oriented style and analytical skills
Tasks
- Develop and deploy machine learning models
- Model weed growth in rice and other key crops
- Explore and support improved model architectures
- Develop features to improve machine learning capabilities
- Implement new or improved model architectures
- Monitor and ensure model performance during the season
- Recommend model adaptations based on performance
- Improve models using feedback from digital agronomists
- Collaborate with agronomic modelers and machine learning engineers
- Embed models into decision support systems
- Enhance field-specific decision logics for weed management
- Interact with technical teams to implement endpoints
- Maintain technical endpoints within xarvio
- Define data needs for model development
- Define data needs for validation trials
Work Experience
approx. 1 - 4 years
Education
Bachelor's degree
Languages
English – Business FluentGerman – Basic
Tools & Technologies
Pythonsci-kit learnTensorFlowPyTorchXGBoostCI/CDDockerAWSGCPAzure
Benefits
Flexible Working
- •Mobile working in Germany
- •Flexible working time models
Career Advancement
- •Inspiring development networks
Learning & Development
- •Professional and personal development
Healthcare & Fitness
- •Location-specific preventive health services
More Vacation Days
- •30 days of vacation
- •Special leave and sabbatical
Public Transport Subsidies
- •Free Deutschlandticket
Company Bike
- •Attractive job bike leasing
Additional Allowances
- •Moving costs subsidy
Parking & Commuter Benefits
- •Parking fees subsidy
Free or Subsidized Food
- •Lunch subsidy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BASF Digital Farming GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BABASF Digital Farming GmbH
Agronomic Modeller - Machine Learning Engineer(m/w/x)
Köln
Full-time, Part-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Modeling weed growth in rice and key crops for global digital farming platforms. Proficiency in Python and clean code writing required. Mobile working in Germany and location-specific preventive health services.
Requirements
- Degree in computer science, related subject, or professional track record
- Proficiency in Python and clean code writing
- Experience with ML libraries and frameworks
- Familiarity with CI/CD, Docker, and cloud platforms
- Fluent English and advantageous German skills
- Structured, solution-oriented style and analytical skills
Tasks
- Develop and deploy machine learning models
- Model weed growth in rice and other key crops
- Explore and support improved model architectures
- Develop features to improve machine learning capabilities
- Implement new or improved model architectures
- Monitor and ensure model performance during the season
- Recommend model adaptations based on performance
- Improve models using feedback from digital agronomists
- Collaborate with agronomic modelers and machine learning engineers
- Embed models into decision support systems
- Enhance field-specific decision logics for weed management
- Interact with technical teams to implement endpoints
- Maintain technical endpoints within xarvio
- Define data needs for model development
- Define data needs for validation trials
Work Experience
approx. 1 - 4 years
Education
Bachelor's degree
Languages
English – Business FluentGerman – Basic
Tools & Technologies
Pythonsci-kit learnTensorFlowPyTorchXGBoostCI/CDDockerAWSGCPAzure
Benefits
Flexible Working
- •Mobile working in Germany
- •Flexible working time models
Career Advancement
- •Inspiring development networks
Learning & Development
- •Professional and personal development
Healthcare & Fitness
- •Location-specific preventive health services
More Vacation Days
- •30 days of vacation
- •Special leave and sabbatical
Public Transport Subsidies
- •Free Deutschlandticket
Company Bike
- •Attractive job bike leasing
Additional Allowances
- •Moving costs subsidy
Parking & Commuter Benefits
- •Parking fees subsidy
Free or Subsidized Food
- •Lunch subsidy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BASF Digital Farming GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
BASF Digital Farming GmbH
Industry
Agriculture
Description
Das Unternehmen ist Vorreiter in der digitalen Transformation der Landwirtschaft zur Optimierung der Ernteproduktion.
Not a perfect match?
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