AI LeadApplylocations:
Barcelonatime type:
Full timeposted on:
Posted 30+ Days Agojob requisition id:
JR ## 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 — Preferred3. 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

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