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

Job Summary

This role is for an innovative Machine Learning Engineer focused on developing and deploying cutting-edge ML models, particularly for applications in plant identification, crop classification, and material property analysis within the agricultural technology sector. The successful candidate will be responsible for integrating these ML solutions directly into agricultural machinery, requiring close collaboration with cross-functional engineering teams. Key responsibilities include analyzing large-scale agronomic and machine datasets to derive actionable insights, contributing to the design of robust data pipelines, and implementing MLOps infrastructure for scalable model deployment. Candidates should possess a Master’s degree in Computer Science or a related field, strong foundational knowledge of ML principles, and proficiency in Python and standard ML frameworks. This position offers the chance to validate ML-based functions through real-world field trials, driving technological advancement in a dynamic, high-impact environment.