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 dont 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 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 - Work :
No
Employment Type :
Full-time
Role purposeThe 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.AccountabilitiesDeveloping and implementing innovative AI models / applications and solutio...
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 dont 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 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 - Work :
No
Employment Type :
Full-time
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