Machine Learning Engineer | Ingenieur (m/w/d) für Maschinelles Lernen
FERCHAU GmbH Niederlassung Ludwigshafen
Job Summary
As a Machine Learning Engineer at FERCHAU, you will play a pivotal role in bridging the gap between innovative vision and practical agricultural technology. Your day-to-day responsibilities involve developing and deploying ML models for critical tasks such as plant identification, crop classification, and material property analysis. You will collaborate closely with cross-functional teams to integrate these intelligent solutions directly into agricultural machinery. Beyond model development, you will analyze large-scale agronomic datasets, design robust data pipelines, and contribute to MLOps infrastructure for scalable deployment. A unique aspect of this role is the opportunity to participate in field trials, validating your ML-based features in real-world agricultural environments. This position is ideal for professionals who enjoy seeing their digital innovations drive tangible technological progress in a dynamic, industry-leading environment that offers long-term stability and comprehensive corporate benefits.
Required Skills
Education
Master's degree in Computer Science or a related field of study
Experience
- Professional experience in the development and deployment of Machine Learning models
- Experience in data preprocessing and large-scale dataset analysis
- Proven experience working with cross-functional teams for software integration
- Experience in designing data pipelines and MLOps infrastructure
- Experience in field testing and real-world validation of technical features
Languages
Additional
- Reference number: VA54-93529-LU. This is a permanent, full-time position.
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