Design, develop, and deploy AI and machine learning solutions for B2B customers, particularly within the Product Lifecycle Management (PLM) domain.
Collaborate with product managers, software engineers, and business stakeholders to gather requirements and translate business needs into AI-driven solutions.
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• You are successful in this role when you have built products which deliver a Unified RGM Engine. We are moving toward architecture where insights are served via a central cockpit in the short midterm but will be executed by AI Agents tomorrow. Your mission is to build technical rails that make this evolution possible.
• You have a broader view than just your position and you can identify with our purpose ‘Nourishing by Nature’.
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Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
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• You are successful in this role when you have built products which deliver a Unified RGM Engine. We are moving toward architecture where insights are served via a central cockpit in the short midterm but will be executed by AI Agents tomorrow. Your mission is to build technical rails that make this evolution possible.
• You have a broader view than just your position and you can identify with our purpose ‘Nourishing by Nature’.
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Own Data Science for a specific-market/industry on new and already established products, services and design.
Be a Data Science business partner for country / cluster leaders, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.
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Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
...
Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
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