AI Engineer

Lead the design development and deployment of production-grade AI/ML solutions that drive measurable business impact across Syngentas 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 Syngentas 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 Syngentas AI platform capabilities and reusable component libraries.

Knowledge experience & capabilities

• 3-5 years of hands-on experience in AI/ML engineering or related roles
• Proven track record of deploying models to production environments
• Proficiency in Python
• Good understanding of AWS cloud architecture including Sagemaker and Bedrock
• Ability to use identify and re-use GitHub projects to solve business problems
• Experience working with cross-functional teams and translating business needs into technical solutions
• Demonstrated ability to manage multiple projects and deliver results in agile environments

Critical success factors & key challenges

• Strong algorithm design analysis and reasoning skills
• Ability to deliver POCs MVPs Experiments technology evaluations following design thinking practices
• Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas
• Excellent communication and stakeholder management skills to explain technical information to individuals who dont have the same technical background
• Problem solving and decision-making skills
• Risk assessment and mitigation for AI/ML projects
• Proactive in identifying opportunities for AI-driven improvements
• Teamwork team management and leadership skills

Innovations

Employee may as part of his/her role and maybe through multifunctional teams participate in the creation and design of innovative 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. 

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Employment Type :

Full-time