▷ [Apply in 3 Minutes] AI Engineer

Company Description

Join Syngenta Group, a leader in agricultural innovation where technology meets purpose. As digital pioneers in AgTech, we're integrating AI across our value chain from smart breeding to precision agriculture. Our global team of 56,000 professionals is transforming sustainable farming worldwide. At Syngenta IT & Digital, your expertise will directly impact food security and shape the future of agriculture through cutting-edge technology.

Website address -

Job Description

Lead the design, development, and deployment of production-grade AI / ML solutions that drive measurable business impact across Syngenta's operations. You will own end-to-end ML pipelines, from problem definition through production deployment, while collaborating with cross-functional teams to transform agricultural and business challenges into scalable AI applications.

Accountabilities

• Design, develop, and deploy production ready AI / ML models and applications that solve critical business problems
• Own the complete ML lifecycle : data pipeline design, feature engineering, model training, evaluation, deployment, and monitoring
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Implement MLOps best practices including model versioning, CI / CD pipelines, and automated retraining
• Translate complex business requirements into technical AI / ML solutions with clear success metrics
• Conduct code reviews and establish engineering best practices for AI projects
• Evaluate and integrate emerging AI technologies (LLMs, GenAI, RAG systems) into Syngenta's ecosystem
• Lead POCs and MVPs using design thinking methodologies to validate solution feasibility
• Optimize model performance, latency, and cost-efficiency for production systems
• Contribute to Syngenta's AI platform capabilities and reusable component libraries.

Knowledge, Experience & Capabilities

Critical success factors & key challenges

Innovations

Employee may, as part of his / her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.

Qualifications

Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.

Additional Information

Note : Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.

Follow us on : LinkedIn

LI page -