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      Syngenta AG

      21.11.2022

      Computer Vision Systems Engineer - Digital Product Biology

      • 4040Basel
      • Festanstellung 100%

      • Home Office
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      Syngenta AG

      Syngenta ist ein weltweit führendes Unternehmen mit mehr als 28 000 Mitarbeitenden in über 90 Ländern mit einem gemeinsamen Ziel: Bringing plant potential to life. Durch erstklassige Forschung, unsere globale Präsenz und die enge Zusammenarbeit mit unseren Kunden helfen wir, die Ernteerträge und die landwirtschaftliche Produktivität zu steigern, und tragen dazu bei, die Umwelt zu schützen sowie die Gesundheit und Lebensqualität zu verbessern.
      Syngenta ist ein weltweit führendes Unternehmen mit mehr als 28 000 Mitarbeitenden in über 90 Ländern mit einem gemeinsamen Ziel: Bringing plant potential to life. Durch erstklassige Forschung, unsere globale Präsenz und die enge Zusammenarbeit mit unseren Kunden helfen wir, die Ernteerträge und die landwirtschaftliche Produktivität zu steigern, und tragen dazu bei, die Umwelt zu schützen sowie die Gesundheit und Lebensqualität zu verbessern.

      Computer Vision Systems Engineer - Digital Product Biology

      Arbeitsort: 4040 Basel

      mehr Infos zu diesem Job

      As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs. Syngenta Crop Protection keeps plants safe from planting to harvesting.  From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold. Syngenta Crop Protection is headquartered in Switzerland.

       

      This position can be based in Basel Switzerland, Germany, UK, Brazil, USA.

       

      • Write maintainable, reusable code for image analysis and systems integration

      • Build the end-to-end image analysis system from image collection through data output to back-end systems

      • Act as a subject matter expert in Computer Vision, Artificial Intelligence, Machine Learning, Remote Sensing, Geospatial Data and Analysis, Photogrammetry, and design of new imaging systems and capabilities within the Global Product Biology team

      • Develop new full-stack systems for capture, storage, and analysis of images and data

      • Develop, test, and deploy new machine learning models for computer vision applications

      • Develop new image collection systems including sensor and optics selection and basic hardware and supporting electronics design and manufacture

      • Collaborate with external vendors and partners to achieve project objectives

      • Ph.D. is preferred, Minimum Bachelor’s degree with experience
      • Some years’ work experience in software engineering, machine learning, or data science.

      • Proficiency with the fundamentals as well as state of the art methods in image analysis, computer vision, and machine learning

      • Strong programming skills in Python

      • Experience with photogrammetric processing tools, Agisoft Metashape

      • Experience with machine/deep learning frameworks, Tensorflow, Keras and PyTorch

      • Proficiency with remote sensing, location, mapping, and geospatial data

      • Proficiency with basic electrical system and PCB design, prototyping, and manufacturing

      • Understanding of QGIS, git, and AWS

      What we offer:

      • Flexible working arrangements and environment with an open culture and diverse workforce, working from remotely possibilities
      • We offer a position which contributes to valuable and impactful work in a stimulating and international environment. With your work you can make an impact to the food security of people: #bringingplantpotentialtolife 
      • The opportunity to work with and learn from highly qualified and experienced employees
      • Learning culture (Together we Grow) and wide range of training options
      • You will profit from an onsite doctor, gym, canteen, and other benefits 
      • A competitive pension fund plan

      Interested? We look forward to receiving your online application including all relevant documents (cover letter, CV)