Artificial Intelligence Engineer

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