AI/ML Developer

AI Solution Development

• Build and deploy AI/ML models for SAP use cases such as performance forecasting, automation, and intelligent recommendations.
• Leverage SAP Joule for conversational AI and intelligent assistance.
• Implement Generative AI solutions (eg, SAP Copilot, document processing, RAG-based knowledge retrieval) integrated with SAP data sources.

Integration with SAP

• Integrate AI services to SAP BTP, SAP S/4HANA, and SAP Datasphere for conversational AI experiences.
• Collaborate within & across the teams to identify and prioritize AI use cases.

Data Engineering & MLOps

• Prepare and optimize data pipelines from SAP HANA/CDS views for AI model training and inference.
• Implement MLOps practices: CI/CD pipelines, model monitoring, retraining workflows, and version control.
• Configure and extend SAP Joule to deliver personalized, context-aware assistance across SAP applications.

Compliance & Governance

• Ensure adherence to data privacy, security, and Responsible AI principles.
• Document AI models, prompts, and workflows for auditability and governance.

• 5 - 9 years experience in AI/ML development and SAP technical operations.
• Strong experience in Python, ML frameworks (TensorFlow, PyTorch), and LLM toolchains (LangChain, Hugging Face).
• Hands-on with SAP technologies: S/4HANA, SAP BTP.
• Experience with cloud AI services (Azure AI, AWS SageMaker).
• Experience with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes).
• Ensure scalability, robustness, and efficiency of AI applications across various platforms.
• Analyze project requirements and translate them into AI solution frameworks.
• Mentor and guide junior AI specialists and team members in best practices and advanced techniques.
• Stay updated on the latest AI and machine learning trends and integrate relevant technologies and methodologies.
• Evaluate, select, and deploy AI tools and technologies to leverage our infrastructure capabilities.
• Monitor and assess AI performance metrics, providing insights and recommendations for enhancement.
• Engage in peer reviews, documentation processes, and develop guidelines for AI strategy implementations.