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Manages an AI engineering team for Syngenta's Vegetable Seeds business in São Paulo, leading development of ML, Generative AI, and analytics products for global seed supply chain operations. The role blends people management with hands-on coding and ownership of the platform's AWS architecture.
Engineering manager in Syngenta's Vegetable Seeds division leading development of AI products (ML, generative AI, advanced analytics) for the global seed supply chain. Blends people leadership, technical direction, and hands-on coding, owning the platform's AWS architecture from São Paulo (hybrid).
Joins Syngenta's Analytics & Data Sciences team (any site in Mexico, hybrid) to build data pipelines and AI-powered analytical software for agricultural R&D data. Day to day: designing ML pipelines, building cloud-native apps on AWS, and applying LLM/agentic-AI tools, using Python, Snowflake/Databricks.
Syngenta's Analytics & Data Sciences team in Durham, NC is hiring an AI Developer to build data pipelines and AI-driven software that helps R&D scientists analyze experimental, genomic, and field data at scale. Daily work centers on Python engineering, deploying ML models on AWS, and applying LLM/agentic AI with tools like Snowflake and Databricks.
Na Syngenta, estamos ampliando o uso de Inteligência Artificial para transformar a forma como nossos times trabalham, tomam decisões e constroem soluções digitais. Dentro de Seeds Production & Supply, estamos…
Position Summary: Lead DS and ML predictive analytics solutions, owning technical strategy and delivery for data science projects of varying complexity. Serve as technical lead for data science squads — driving…
A hands-on Senior Cloud Engineer / Technical Lead at Syngenta (hybrid, Durham, NC) who designs and delivers secure AWS and hybrid infrastructure, Terraform Cloud automation, Snowflake enablement, Datadog observability, and HPC/AI-ML research computing (ParallelCluster, SageMaker), plus lab modernization, for the company's research IT organization.
We are looking for a hands-on, senior-level Software Engineer with deep Python expertise to build reliable internal platforms and developer-enablement capabilities. This is an engineering-first role: strong software…
We are seeking an exceptional Senior Software Engineer to spearhead our technical vision and drive the implementation of complex technology solutions in our Digital team. This pivotal role combines technical leadership…
As a Protein Design Scientist, you leverage an AI-first approach, utilizing protein language models (pLMs) and generative sequence design to explore sequence-function relationships and pioneer next-generation…
Syngenta Seeds' Bioinformatics group is hiring an onsite Protein Design ML Scientist in Durham, NC to build machine learning models (protein language models, generative models, active learning/Bayesian optimization) for computational protein engineering, partnering with wet-lab teams to accelerate agricultural trait discovery. Core stack: Python with PyTorch/JAX.
We are seeking a Senior Data Engineer to be a member of an innovative team working in a collaborative DataOps environment assembled from data engineers, data scientists, visualization and analytics experts drawn from…
Role purpose Lead the development and application of computational protein design capabilities within the Bioinformatics group to support Seeds R&D in China. The role is responsible for growing a team and advancing…
We are looking for a strategic and experienced Lead Product Manager to lead a portfolio of digital products that strengthen how R&D teams generate insights, make decisions, plan, predict outcomes, and optimize…
Lead Data Architect embedded in a business function, designing AWS and Databricks-based data mesh, ML, and GenAI solutions while aligning domain architectures with enterprise standards.
Join our global analytics team within Product Biology & Sustainable Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive Science, you will…
The Data Scientist II will develop machine learning and statistical models to support Crop Protection R&D, focusing on applying generative AI, LLMs, and agentic workflows to scientific data. The role involves collaborating with domain experts to build analytical solutions and knowledge graphs to accelerate biological and chemical research.
Build AI/ML models to predict chemical safety risks using multimodal biological data, translating outputs into actionable insights for research decisions in agrochemicals.
Develops AI/ML models to predict safety risks in biological/chemical research, integrating toxicology, biology, and data science to improve decision-making for agrochemicals and pharmaceuticals.
Leads DevOps/SRE for enterprise AI/data platforms, ensuring reliability, scalability, and security via automation, observability, and cloud ops (preferably AWS).
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