SAP AI Consultant | Senior

Wymagania

• 8-12 years in AI/ML with 4+ years in SAP ecosystem or master data-focused solutions

• Knowledge of SAP AI Core, AI Launchpad, SAP Datasphere, and SAP Data Intelligence

• Experience with SAP Workzone, Build, and Integration Suite

• Skills in Python/ML frameworks (TensorFlow, scikit-learn), REST APIs, and MLOps best practices

• Understanding of integrating AI capabilities with on-premise solutions

• Background in regulated industries with model governance, explainability, and compliance requirements

• Upper-Intermediate English language proficiency (B2)

Zakres obowiązków

• Lead AI Enrichment & Recommendations Feasibility Report, defining OOTB vs custom options and guardrails

• Design MVP use cases such as auto-population of attributes and anomaly detection aligned with MDG processes

• Build POCs integrating AI services with intake UX and MDG approvals; ensure performance and governance readiness

• Define model training data requirements, bias/accuracy metrics, and monitoring KPIs

• Support rollout of AI-enabled features across pilot and subsequent waves, ensuring modular integration

• Produce AI solution architecture, model lifecycle documentation, and compliance evidence

• Maintain decision logs for AI feature enablement, data usage approvals, and risk mitigation plans

• Provide KT to run teams covering model retraining, monitoring alerts, and incident handling

Seniority

• Senior

Mile widziane

• Certification in relevant SAP technologies

Opis

We are seeking a dynamic SAP AI Consultant to join our team, focusing on integrating AI/ML solutions within SAP ecosystems. This role involves leading innovative projects, ensuring compliance, and enhancing data processes through advanced AI technologies. Responsibilities Lead AI Enrichment & Recommendations Feasibility Report, defining OOTB vs custom options and guardrails Design MVP use cases such as auto-population of attributes and anomaly detection aligned with MDG processes Build POCs integrating AI services with intake UX and MDG approvals; ensure performance and governance readiness Define model training data requirements, bias/accuracy metrics, and monitoring KPIs Support rollout of AI-enabled features across pilot and subsequent waves, ensuring modular integration Produce AI solution architecture, model lifecycle documentation, and compliance evidence Maintain decision logs for AI feature enablement, data usage approvals, and risk mitigation plans Provide KT to run teams covering model retraining, monitoring alerts, and incident handling Requirements 8-12 years in AI/ML with 4+ years in SAP ecosystem or master data-focused solutions Knowledge of SAP AI Core, AI Launchpad, SAP Datasphere, and SAP Data Intelligence Experience with SAP Workzone, Build, and Integration Suite Skills in Python/ML frameworks (TensorFlow, scikit-learn), REST APIs, and MLOps best practices Understanding of integrating AI capabilities with on-premise solutions Background in regulated industries with model governance, explainability, and compliance requirements Upper-Intermediate English language proficiency (B2) Nice to have Certification in relevant SAP technologies

Słowa kluczowe / Umiejętności