Ai jobs in Germany

Senior Specialist, Business Intelligence & Data Analytics

isto drive innovation and digital transformation across Maaden organization. This role requires deep expertise in the Microsoft Azure AI ecosystem, with a focus on designing, developing, and deploying advanced, enterprise-grade AI solutions.

The role will be responsible for the end-to-end lifecycle of AI solutions, from design to deployment, optimization and support. Ensure timely and cost-effective delivery of materials, equipment, and personnel to operational sites.

• AI Solution Design and Implementation: Design and implement AI/ML solutions using Azure AI services (e.g., Azure AI Foundry) for enterprise-scale deployments.
• Generative AI and LLM Development: Fine-tune, deploy, and manage LLMs (e.g., GPT-4o, GPT-3.5) for business-specific use cases, including text generation, summarization, and intelligent automation.
• Agentic AI and Workflow Orchestration: Create and orchestrate complex AI workflows using Agentic AI frameworks (e.g., Azure AI Foundry, Autogen, CrewAI, LangGraph, Semantic Kernel) and tools like Azure Functions and Logic Apps for autonomous task execution and decision-making.
• Conversational AI and Integration: Build and deploy intelligent conversational AI solutions using the Microsoft Bot Framework and Azure Bot Service, ensuring seamless integration with platforms like Microsoft Teams and enterprise systems.
• Low-Code/No-Code Integration: Integrate AI capabilities into the Power Platform (Power Apps, Power Automate, Copilot Studio) to enable rapid, low-code application development and embed AI into business workflows.
• Data and Pipeline Management: Develop and manage Retrieval-Augmented Generation (RAG) pipelines integrated with enterprise data sources (e.g., SharePoint, Oracle) and ensure high-quality data modeling, cleaning, and fine-tuning for optimal AI model performance.
• Performance and Security: Ensure the scalability, security, and performance of all deployed Azure AI solutions, including containerization and orchestration using technologies like Docker and Azure Kubernetes Service (AKS).

• Bachelor's or master’s degree in computer science, Artificial Intelligence, or a related quantitative field.

• 5+ years of experience in AI/ML development, specifically with enterprise-grade solutions.

• Data Technologies: SQL, KQL, DAX, Data ingestion (Oracle DW, ERP, SharePoint, Excel, CSV), Data modeling (Power BI), Azure App Insight and monitoring service.
• Deployment & Operations (CI/CD): Containerization (Docker), Orchestration (Azure Kubernetes Service – AKS) with GitHub / Azure DevOps.
• Front-End Technologies: HTML, CSS, JavaScript, Angular, or React for building monitoring dashboards, Streamlit, Gradio.
• Certifications: Azure Certifications (e.g., AI-102, DP-100, AZ-204).
• Specialized Experience: Experience with Generative AI in Production Environments.
• Additional tools & services: MCP, Power Apps, Azure Bot Service, Teams Integration, Teams AI SDK.
• Excellent communication, presentation, and stakeholder management skills.
• Strong problem-solving and analytical thinking.
• Ability to lead projects and mentor junior developers.
• Resilience and a proactive approach to project challenges.