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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
  • Amsterdam, Netherlands

Responsibilities

  • Design and build data pipelines supporting machine learning models and advanced analytics.
  • Develop AI solutions and analytical software integrating R&D-specific data, models, workflows, and decision frameworks.
  • Build containerized applications and orchestration in cloud environments.
  • Deploy and configure software in non-production and production environments.
  • Partner with R&D scientists, data scientists, and analytics teams to translate scientific and operational needs into scalable software.
  • Use AI-assisted development tools to improve delivery, 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 are scientifically valid, explainable where needed, reliable in production, and aligned with 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 five years of professional software engineering experience, including at least three 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.
  • Experience with AI and machine learning frameworks, agentic AI, and large language models.
  • Experience with big data platforms such as Snowflake and Databricks.
  • Experience packaging, deploying, and monitoring machine learning models in production.
  • 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.
  • Ability to use AI coding assistants, enterprise AI platforms, or agentic AI tools while applying 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

  • The role may be based at any Syngenta site in the Netherlands and follows local hybrid-work guidelines.

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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