pul li- Enterprise Architecture experience: proven EA leadership translating concepts into /li li- Hands-on AI/ML engineering: building, fine-tuning, and deploying ML/DL models (LLMs, RAG, MLOps) in production. /li li- AI platforms: hands-on with AWS (Bedrock, SageMaker, Amazon Q), Azure (Azure AI, ML, OpenAI), and Databricks. /li li- Engineering and analytics: strong Python, TensorFlow/PyTorch, containers, Kubernetes, and CI/CD for hybrid cloud. /li li- Data modelling and governance: conceptual/logical modelling and governance standards in regulated environments. /li li- Architecture judgement: select fit-for-purpose AI architecture per use case, with full-lifecycle /li li- Leadership:



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

📌 Artificial Intelligence Consultant (España)
🏢 Virtusa
📍 España