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R&D Analytics - AI Developer

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R&D Analytics - AI Developer in Others new

  • Syngenta Group
  • Full time
  • Email
  • Guadalajara, Mexico

Responsibilities

  • Design and build data pipelines supporting machine learning models and advanced analytics.
  • Build AI solutions and analytical software integrating R&D-specific data, models, workflows, and decision frameworks.
  • Package, deploy, monitor, and maintain machine learning models in production.
  • Develop, containerize, orchestrate, and deploy applications in cloud environments.
  • Manage software deployment and configuration across non-production and production environments.
  • Partner with R&D scientists, data scientists, and analytics teams to develop scalable software solutions.
  • Use AI-assisted development tools to improve productivity, code quality, documentation, and testing while maintaining engineering accountability.
  • Evaluate AI, agentic AI, and automation capabilities for R&D analytics, experimentation, and decision support.
  • Ensure solutions meet scientific validity, reliability, explainability, data governance, model governance, security, and compliance expectations.

Requirements

  • Master’s or PhD in Data Science, Artificial Intelligence, Computer Science, Quantitative Genetics, or a related field.
  • At least 5 years of professional software engineering experience, including at least 3 years building and maintaining production systems in Python.
  • Strong Python programming and software engineering skills with experience designing, building, and maintaining end-to-end software solutions.
  • Familiarity with AI and machine learning frameworks and strong knowledge of agentic AI and large language models.
  • Experience with big data platforms such as Snowflake and Databricks.
  • Proficiency developing cloud-native applications and deploying to cloud environments, especially AWS.
  • Experience with API technologies such as RESTful APIs or GraphQL.
  • Experience developing software products or analytical applications for scientific, R&D, agricultural, biological, or similarly complex data domains.
  • Demonstrated ability to use AI coding assistants, enterprise AI platforms, or agentic AI tools with independent technical review, testing, and validation.
  • Familiarity with responsible AI practices, including model evaluation, bias and error assessment, traceability, prompt and version management, and human-in-the-loop workflows.

Benefits

  • Work from any Syngenta site in Mexico under the local hybrid work model.

Syngenta Group

Syngenta Group builds and sells seeds, crop‑protection products (herbicides, fungicides, insecticides), and digital agronomy tools that help farmers increase yields and manage risk. Its business spans R&D, manufacturing, and global distribution to growers and agricultural retailers, complemented ...

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