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

Job Summary

This Machine Learning Engineer role focuses on transforming agricultural technology by developing and deploying sophisticated ML models for applications such as plant identification, crop classification, and analyzing material properties. The successful candidate will be responsible for integrating these ML solutions directly into agricultural machinery, necessitating close collaboration with cross-functional engineering teams. A core component of the job involves analyzing large-scale agronomic and machine datasets to derive actionable insights, as well as contributing to the design of robust data pipelines and MLOps infrastructure for scalable model deployment. The role also requires participation in field trials to validate ML-based functionalities in real agricultural environments. Required qualifications include a Master's degree in Computer Science or a related field, deep knowledge of machine learning principles, and proficiency in Python and relevant ML frameworks. This position offers an opportunity to take ownership and evolve professionally while contributing to technological advancement in a dynamic sector.