Tech Stack
PythonRESTTensorFlowAIScikit-learnESBuild
Job Description, Responsibilities & Requirements
About the Position
We are seeking a dynamic SAP AI Consultant to join our team at EPAM Systems, 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
About the Company
EPAM Systems is a global software engineering and product development company, delivering digital transformation and technology innovation to clients across various industries.
We Offer
- Opportunity to work in a dynamic and innovative environment
- Competitive compensation package
- Hybrid work model
- Professional growth and development opportunities