Machine Learning Engineer | Ingenieur (m/w/d) für Maschinelles Lernen

Job Summary

This role involves developing and deploying cutting-edge Machine Learning (ML) models for diverse applications, including plant identification, crop classification, and material property analysis, specifically within the agricultural technology sector. The Machine Learning Engineer will be crucial in integrating these ML solutions into agricultural machinery, requiring close collaboration with cross-functional teams. Key responsibilities also include analyzing large-scale agronomic and machine datasets to derive actionable insights, contributing to the design of data pipelines, and implementing MLOps infrastructure for scalable model deployment. Candidates must possess a Master's degree in Computer Science or a related field, deep knowledge of ML principles, and proficiency in Python and relevant ML frameworks. This position offers the opportunity to drive technological progress by turning innovative visions into real-world applications within a dynamic environment.