Master - SAP AI Engineering Architect (f/m/d)
Tasks
- Build AI proof-of-concepts
- Build predictive models
- Create knowledge graphs
- Design AI security and AI ethics
- Design application architecture
- Develop APIs and call APIs
- Develop UIs for AI capabilities
- Develop machine learning models
- Implement DevOps and CI/CD pipelines
- Implement data pipelines
- Integrate AI solutions with SAP BTP services
- Process data and implement AI solutions
- Research and develop new AI technologies
- Train and evaluate AI models
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | AI Core | AI Security | Analytics Cloud | Anomaly Detection | CI/CD | Classification | Data Governance | Data Intelligence | Data Pipelines | Data Preprocessing | Data Visualization | Database Management | Deep learning | DevOps | ETL | Extension Suite | GenAI Hub | HANA Cloud | Integration Suite | Java | JavaScript | Jupyter | Knowledge graphs | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MCP | Machine Learning | Model Evaluation | Model Training | Natural Language | Natural Language Processing | NodeJs | Pandas | Python | Regression | SAP AI | SAP AI Core | SAP Analytics | SAP Analytics Cloud | SAP BDC | SAP BTP | SAP BUILD | SAP CAP | SAP Data Intelligence | SAP Extension | SAP Extension Suite | SAP HANA | SAP HANA Cloud | SAP Integration | SAP Integration Suite | SAP data | Vector engines | Vectorization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineering | AI Engineering Architect | Architect | Engineering Architect | SAP Architect
Regions
Countries
States
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