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

Job Summary

This role is for a Machine Learning Engineer focused on integrating cutting-edge ML solutions into agricultural machinery. Day-to-day responsibilities include developing and deploying ML models for applications such as plant identification, crop classification, and material property analysis. The engineer will collaborate closely with cross-functional teams to integrate these solutions and will be responsible for analyzing large-scale agronomic and machine datasets to derive actionable insights. A key part of the job involves contributing to the design of robust data pipelines and MLOps infrastructure to ensure scalable model deployment. The ideal candidate holds a Master's degree in Computer Science or a related field, possesses solid knowledge of machine learning principles, and is proficient in Python and various ML frameworks. This position offers the opportunity to take ownership of complex projects, participate in real-world field trials, and contribute to technological advancement within a dynamic European technology services platform.