Oracle Enterprise Architect

Virtusa

Pontevedra, Spain

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.buscojobs.com.es

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Information Engineering Python (Programming Language) Machine Learning Performance Tuning Tensorflow Pytorch Oracle Enterprise Manager Large Language Models IT Architecture

+5 more

HybridCloud AI Platforms Kubernetes Machine Learning Operations Databricks

Job description

AI ArchitectLea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.Job Description:Essential Skills/Experience- Enterprise Architecture experience: proven EA leadership translating concepts intoproduction-ready solutions.- 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, andCI/CD for hybrid cloud.- Data modelling and governance: conceptual/logical modelling and governance standards inregulated environments.- Architecture judgement: select fit-for-purpose AI architecture per use case, with full-lifecycleunderstanding.- Leadership: lead a small team of AI architects and help shape enterprise AI strategy anddirection.- Degree in data science, AI engineering, or a related field (or equivalent experience).Desirable Skills/ExperiencePostgraduate degree in MIS, AI, data science, or a related field.Recognised thought leader in applying AI within the enterprise and across the industry.xbhjioeExtensive senior AI, data science, data engineering, and AI architecture experience deliveringlarge-scale blueprints.- Hands-on building AI models, including LLMs and LVMs, across diverse data types

Requirements

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, andCI/CD for hybrid cloud.
Data modelling and governance: conceptual/logical modelling and governance standards inregulated environments.
Architecture judgement: select fit-for-purpose AI architecture per use case, with full-lifecycleunderstanding.
Leadership: lead a small team of AI architects and help shape enterprise AI strategy anddirection.
Degree in data science, AI engineering, or a related field (or equivalent experience). Desirable Skills/ExperiencePostgraduate degree in MIS, AI, data science, or a related field.Recognised thought leader in applying AI within the enterprise and across the industry. xbhjioeExtensive senior AI, data science, data engineering, and AI architecture experience deliveringlarge-scale blueprints.
Hands-on building AI models, including LLMs and LVMs, across diverse data types