R&D AI Developer for Agriculture Analytics

Syngenta Group; México; Hybrid; MXN 900.000 - 1.500.000; Vollzeit

Zusammenfassung

Syngenta Group in Mexico is seeking an R&D Analytics - AI Developer to design software that enables R&D teams to analyze diverse data at scale.

You will build data pipelines, AI-enabled tools, and cloud-native applications on AWS, collaborating with scientists to translate needs into scalable software. This role blends software engineering, AI, and domain expertise to improve decision-making across Vegetable R&D.

Qualifikationen

• Advanced degree in data science or related field.
• 5+ years in software engineering, with 3+ years in production Python.
• Experience with AI and machine learning frameworks.
• Proven experience designing, building, and maintaining end-to-end software solutions.
• Experience with big data platforms such as Snowflake or Databricks.
• Proficiency in developing cloud-native apps on AWS.

Aufgaben

• Design and build data pipelines for ML models and analytics.
• Create analytical software integrating domain data, models, and decision frameworks.
• Containerize applications and orchestrate in a cloud environment.
• Manage deployment in non-production and production environments.
• Collaborate with R&D scientists to translate needs into scalable software solutions.
• Leverage AI tooling to accelerate delivery with quality controls.
• Evaluate emerging AI capabilities for R&D analytics and decision support.
• Ensure solutions are explainable, reliable, and compliant.

Kenntnisse

Python

Data Science

AWS

ML Frameworks

Agentic AI

API Design

Ausbildung

Master or PhD in Data Science/AI/CS

Tools

Snowflake

Databricks

Jobbeschreibung

Syngenta Group in Mexico is seeking an R&D Analytics - AI Developer to design software that enables R&D teams to analyze diverse data at scale.

You will build data pipelines, AI-enabled tools, and cloud-native applications on AWS, collaborating with scientists to translate needs into scalable software. This role blends software engineering, AI, and domain expertise to improve decision-making across Vegetable R&D.