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      Syngenta AG

      22.11.2022

      Machine Learning Engineer

      • 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.

      Machine Learning Engineer

      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.

      • Develop novel software image analysis solutions to provide non-subjective, quantitative data from agricultural fields through image analysis and processing. This could be through a combination of traditional image analysis and artificial intelligence (Deep Learning).
      • Build and deploy machine learning systems throughout our data analysis pipeline
      • Write elegant, maintainable, reusable code for image analysis
      • Act as a subject matter expert in Artificial Intelligence, Machine Learning, and design of new image analysis systems and capabilities within the Global Product Biology team
      • Work directly with the image annotation team to ensure the images you need to create models are fit-for-purpose.
      • Develop, test, and deploy new machine learning models for computer vision applications
      • Proficiency with the fundamentals as well as state of the art methods in image analysis, computer vision, and machine learning
      • Ability to write maintainable, reusable code to develop high quality software and artificial intelligence systems
      • Strong programming skills in Python
      • Must be able to produce solutions independently in an organized manner and also be able to work in a team when required
      • Strong communication skills. Fluent in written and spoken English

       

      Preferred technical capabilities

      • Experience with machine/deep learning frameworks like Tensorflow and PyTorch
      • Proficiency with remote sensing, location, mapping, and geospatial data
      • Proficiency with imaging system design and component selection
      • 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)