Syngenta Group - Vero Beach, FL
posted 3 months ago
The Machine Learning Engineer role is an integral part of our Global Product Biology team within the Research and Development (R&D) organization at Syngenta. This position is focused on the development of innovative Crop Protection (CP) solutions aimed at enhancing agricultural productivity and sustainability. As a Machine Learning Engineer, you will be responsible for creating advanced software image analysis solutions that yield non-subjective, quantitative data from agricultural fields. This involves leveraging both traditional image analysis techniques and cutting-edge artificial intelligence methods, particularly Deep Learning, to analyze and process images effectively. In this role, you will build and deploy machine learning systems that are essential to our data analysis pipeline. Your contributions will directly impact the efficiency and effectiveness of our crop protection strategies, ensuring that farmers have the tools they need to protect their crops from various threats, including pests, diseases, and environmental challenges. You will be expected to write elegant, maintainable, and reusable code for image analysis, acting as a subject matter expert in Artificial Intelligence and Machine Learning within the Global Product Biology team. Collaboration is key in this role, as you will work closely with the image annotation team to ensure that the images required for model creation are fit for purpose. You will also be tasked with developing, testing, and deploying new machine learning models specifically tailored for computer vision applications, contributing to the overall mission of Syngenta to provide safe, nutritious, and affordable food for all while minimizing agricultural inputs.