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 technological vision and agricultural reality. Your daily responsibilities involve developing and deploying ML models for critical applications such as plant identification, crop classification, and material property analysis. You will work 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 hands-on participation in field trials to validate your ML functions in real-world environments. This position is ideal for candidates who want to see their code drive physical innovation in a dynamic, industry-leading environment. FERCHAU offers an attractive package including a permanent contract, comprehensive corporate benefits, and opportunities for professional development within a collaborative team culture.
Required Skills
Education
Master's degree in Computer Science or a related field
Experience
- Professional experience in the development and deployment of machine learning models
- Experience in processing and analyzing large-scale agronomic or machine datasets
- Proven experience working with Python and standard ML frameworks
- Experience in designing data pipelines and MLOps infrastructure
- Experience collaborating with cross-functional teams for hardware/software integration
Languages
Additional
- Participation in field trials and real-world validation of ML functions is required.
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