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 be at the forefront of agricultural technology, transforming visions into reality. Your day-to-day responsibilities involve developing and deploying ML models for critical applications such as plant identification and crop classification. 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 opportunity to participate in field trials, validating your ML-based features in real-world agricultural environments. This position is ideal for those who want to see their code have a physical impact on the future of farming. The role offers long-term stability with a permanent contract, comprehensive benefits including pension schemes and childcare subsidies, and a vibrant team culture with regular social events.
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 analyzing large-scale agronomic and machine datasets
- Proven experience in collaborating with cross-functional teams for system integration
- Experience in validating technical features through field trials and real-world testing
- Experience working with Python and standard ML frameworks
Languages
Additional
- Permanent employment contract; participation in field trials required; location-based role with potential travel for agricultural environment validation.
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