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Key Responsibilities:
- Architect and develop scalable AI/ML solutions using modern frameworks and tools.
- Integrate AI models into enterprise systems ensuring seamless deployment and performance.
- Collaborate with cross-functional teams to gather requirements and deliver impactful solutions.
- Design, maintain, and optimize data pipelines and AI model performance.
- Stay updated on emerging AI/ML trends, frameworks, and technologies to drive innovation.
Required Skills & Expertise:
Applications & Platforms:
- SAP Business Technology Platform (BTP) / Kyma (Kubernetes)
- Databricks, SAP Analytics Cloud (SAC), Adobe Analytics
- Azure Active Directory (Azure AD)
- SAP HANA
- Outreach
- Jira, Wiki, MS Teams (communication & documentation)
- ServiceNow (ticketing system)
Technical Proficiency:
- AI/ML Concepts: LLM Models, RAG, LangChain, Vector DB, AI Agents
- Programming: Python (web development), React, TypeScript
- Frameworks & Tools: SAP UI5, SQL
- DevOps & CI/CD: Kubernetes, Docker, GitHub Actions, Jenkins
- Monitoring & Logging: Dynatrace, CLS (Cloud Logging Service), OpenSearch Dashboard
- Testing & Automation: JMeter, REST API testing, Manual/Regression/Smoke Testing
- Authentication: OAuth
- Reporting: Dashboarding tools for ticket analysis
Key Skills
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