- Enterprise Architecture experience: proven EA leadership translating concepts intoCompruebe a continuación si tiene lo necesario para esta posibilidad y, si es así, envíe su solicitud lo antes posible.- Hands-on AI/ML engineering: building, fine-tuning, and deploying ML/DL models (LLMs, RAG, MLOps) in production.- AI platforms: hands-on with AWS (Bedrock, SageMaker, Amazon Q), Azure (Azure AI, ML, OpenAI), and Databricks.- Engineering and analytics: strong Python, TensorFlow/PyTorch, containers, Kubernetes, and CI/CD for hybrid cloud.- Data modelling and governance: conceptual/logical modelling and governance standards in regulated environments.- Architecture judgement: select fit-for-purpose AI architecture per use case, with full-lifecycle- Leadership:



lead a small team of AI architects and help shape enterprise AI strategy and direction.- Degree in data science, AI engineering, or a related field (or equivalent experience).- Postgraduate degree in MIS, AI, data science, or a related field. xqbhyrx - Recognised thought leader in applying AI within the enterprise and across the industry.- Extensive senior AI, data science, data engineering, and AI architecture experience delivering- Hands-on building AI models, including LLMs and LVMs, across diverse data types#J-18808-Ljbffr

📌 Artificial Intelligence Consultant (Madrid)
🏢 Talent
📍 Madrid