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

Job Summary

This role involves driving technological progress by developing and deploying cutting-edge Machine Learning (ML) models, specifically targeting applications like plant identification, crop classification, and material property analysis within the agricultural machinery sector. The successful candidate will collaborate closely with cross-functional teams to integrate these ML solutions into complex machinery. Key responsibilities include analyzing large-scale agronomic and machine datasets to extract actionable insights, contributing to the design of robust data pipelines, and implementing MLOps infrastructure for scalable model deployment. Qualifications require a Master's degree in Computer Science or a related field, deep knowledge of ML principles, proficiency in Python and ML frameworks, and experience in data preprocessing and analysis. This position is ideal for adaptable, curious professionals eager to validate ML functions in dynamic, real-world agricultural environments.