AI Lead

**Job main responsibilities:** ------------------------------ * Support development and deployment of AI and advanced analytics use cases * Prepare, validate, and curate data for AI workloads * Ensure quality, performance, and governance of AI outputs * Collaborate with data engineering and analytics teams * Support responsible and scalable AI adoption **Technical Skills & Technology Landscape:** -------------------------------------------- * Machine learning and advanced analytics concepts * Analytics-ready and AI-ready datasets * Model validation, monitoring, and performance tracking * Cloud-based analytics and AI platforms **Qualifications and Skills:** ------------------------------ 1\. Core Technical * LLM orchestration frameworks: LangChain, Semantic Kernel, Azure AI Foundry * MLOps practices: model versioning, deployment pipelines, monitoring (MLflow, Azure ML) * Prompt engineering: few-shot, chain-of-thought, structured output, retrieval-augmented generation (RAG) * Azure AI Services: Azure OpenAI, Cognitive Services, AI Search (vector and hybrid) * Feature engineering and ML pipeline development (Databricks Feature Store, MLflow) * Responsible AI: bias detection, explainability, AI governance frameworks * AI-ready data design: embedding generation, vector store management, data curation for AI * API integration: exposing AI capabilities as enterprise services (FastAPI, Azure API Management) 2\. Certifications * Microsoft Certified: Azure AI Engineer Associate — Preferred * Microsoft Certified: Azure AI Fundamentals — Preferred * Databricks Certified Machine Learning Professional — Preferred * Generative AI for Business Leaders (Microsoft / Coursera / DeepLearning.AI) - Strongly Preferred * Microsoft Certified: Fabric Analytics Engineer Associate — Preferred 3\. Industry & Business Knowledge * Industrial AI use cases: predictive maintenance, quality control, demand sensing * SAP data context for AI inputs: finance forecasting, procurement analytics, production data * Responsible AI governance in a global manufacturing enterprise * Understanding of data privacy, AI regulation (EU AI Act), and compliance requirements * Business value framing: translating AI capabilities into operational impact 4\. Behavioral & Leadership * Innovation mindset balanced with pragmatic delivery * Ability to translate AI concepts for non-technical business audiences * Responsible AI advocacy — champions governance alongside capability * Hypothesis-driven experimentation: tests before scaling * Strong cross-domain collaboration with data engineering, analytics, and business units **What do we offer?** * **Hybrid Work Model**: Flexibility to work from home and in the office, according to the policy, helping you achieve a healthy work-life balance. * **Ticket Restaurant**: Enjoy a daily meal allowance to support your well-being. * **Flexible retribution**: Kindergarten & Transport * **30 Labor Days of Holidays**: Ample time off to relax and recharge. * **Language Lessons**: Access to language lessons to help you grow both personally and professionally. * **Medical Insurance**: 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate. * **Open and Modern Office Environment**: Work in a collaborative, innovative, and comfortable space designed for your success.