Ingredion is looking to manage, design, develop, and deploy scalable and robust artificial intelligence and machine learning solutions for various business problems to enable digital transformation and innovation across various functions.
Requirements
- AI/ML design
- development
- architecture of AI/ML
- technologies
- TensorFlow
- PyTorch
- Scikit-learn
Responsibilities
- Analyze requirements for ML projects supporting Ingredion functional areas (demand planning, experimental ingredient formulations, manufacturing, yield management, and others) and translate them into ML solutions.
- Assist in facilitation of the Ingredion DTS AI Labs community in peer reviewing member projects, formalizing best practices and standards, and collaborating with Ingredion Data Scientists on ML problems.
- Review and advise project uses of AI/ML frameworks, tools, and platforms, such as TensorFlow, PyTorch, Scikit-learn, R, Azure, and Google Cloud Platform.
- Document and evolve best practices, standards, and processes for AI/ML development and deployment.
- Test and validate solutions and ensure they meet the quality standards and expectations of the solution architecture and design.
- Collaborate with data engineers, data scientists, business analysts, and stakeholders to understand the business needs, define the AI/ML objectives, and communicate the results and insights.
- Monitor and evaluate the performance and impact of AI/ML solutions and provide feedback and recommendations for improvement.
Other
- partnership with technical and non-technical stakeholders.
- collaborate with cross-functional teams
- understand the business needs
- communicate the results and insights.
- Progression towards a Bachelor's degree or Master’s degree in Data Sci
