AI Solution Engineer

Role purpose

The role will design, develop, and implement cutting-edge AI solutions that drive business value while ensuring technical excellence, scalability, and innovation in solving complex business challenges.

Accountabilities

• Developing and implementing innovative AI models / applications and solutions
• Data preprocessing, model training, and evaluation tasks
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Stay up to date on latest trends and new technologies in the AI space, evaluate their potential to introduce into our ecosystem based on their potential impact.

Knowledge, experience & capabilities

• Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.
• Strong interest in artificial intelligence, machine learning, Generative AI, LLMs, prompt engineering.
• Proficiency in programming languages such as Python
• Good understanding of front-end technologies like HTML/ CSS
• Good understanding of AWS cloud architecture including Sagemaker and Bedrock
• Knowledge of SAP is preferred
• Ability to use identify and re-use GitHub projects to solve business problems
• Excellent analytical and problem-solving skills.
• Effective communication and teamwork abilities.

Critical success factors & key challenges

• Strong algorithm design, logical 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 don't have the same technical background
• Problem solving and decision-making skills
• 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 solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.

At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner.

Website address - https://www.syngentagroup.com/

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

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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LI page  - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all