Job Main ResponsibilitiesSupport development and deployment of AI and advanced analytics use casesPrepare, validate, and curate data for AI workloadsEnsure quality, performance, and governance of AI outputsCollaborate with data engineering and analytics teamsSupport responsible and scalable AI adoptionTechnical Skills & Technology LandscapeMachine learning and advanced analytics conceptsAnalytics-ready and AI-ready datasetsModel validation, monitoring, and performance trackingCloud-based analytics and AI platformsQualifications And SkillsCore TechnicalLLM orchestration frameworks: Lang Chain, Semantic Kernel, Azure AI FoundryMLOps 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 Open AI, Cognitive Services, AI Search (vector and hybrid)Feature engineering and ML pipeline development (Databricks Feature Store, MLflow)Responsible AI: bias detection, explainability, AI governance frameworksAI-ready data design: embedding generation, vector store management, data curation for AIAPI integration: exposing AI capabilities as enterprise services (Fast API, Azure API Management)CertificationsMicrosoft Certified: Azure AI Engineer Associate — PreferredMicrosoft Certified: Azure AI Fundamentals — PreferredDatabricks Certified Machine Learning Professional — PreferredGenerative AI for Business Leaders (Microsoft / Coursera / Deep Learning. AI) - Strongly PreferredMicrosoft Certified:



Fabric Analytics Engineer Associate — PreferredIndustry & Business KnowledgeIndustrial AI use cases: predictive maintenance, quality control, demand sensingSAP data context for AI inputs: finance forecasting, procurement analytics, production dataResponsible AI governance in a general manufacturing enterpriseUnderstanding of data privacy, AI regulation (EU AI Act), and compliance requirementsBusiness value framing: translating AI capabilities into operational impactBehavioral & LeadershipInnovation mindset balanced with pragmatic deliveryAbility to translate AI concepts for non-technical business audiencesResponsible AI advocacy — champions governance alongside capabilityHypothesis-driven experimentation: tests before scalingStrong cross-domain collaboration with data engineering, analytics, and business unitsWhat 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 & Transport30 Labor Days of Holidays: Ample time off to relax and recharge.Language Lessons: Access to language lessons to help you grow both personally and dical 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.

📌 Ai Lead (Barcelona)
🏢 Omya
📍 Barcelona