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LM
Luis Minvielle
How to Become an AI Engineer
over 2 years ago
Artificial Intelligence Consultant
Ea
Spain
12 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
Tech stack
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Continuous Integration
Information Engineering
Python (Programming Language)
Machine Learning
Performance Tuning
Tensorflow
Pytorch
Large Language Models
IT Architecture
+5 more
HybridCloud
AI Platforms
Kubernetes
Machine Learning Operations
Databricks
Requirements
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- Enterprise Architecture experience: proven EA leadership translating concepts into
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- Hands-on AI/ML engineering: building, fine-tuning, and deploying ML/DL models (LLMs, RAG, MLOps) in production.
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- AI platforms: hands-on with AWS (Bedrock, SageMaker, Amazon Q), Azure (Azure AI, ML, OpenAI), and Databricks.
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- Engineering and analytics: strong Python, TensorFlow/PyTorch, containers, Kubernetes, and CI/CD for hybrid cloud.
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- Data modelling and governance: conceptual/logical modelling and governance standards in regulated environments.
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- Architecture judgement: select fit-for-purpose AI architecture per use case, with full-lifecycle
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- Leadership: lead a small team of AI architects and help shape enterprise AI strategy and direction.
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- Degree in data science, AI engineering, or a related field (or equivalent experience).
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- Postgraduate degree in MIS, AI, data science, or a related field.
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- Recognised thought leader in applying AI within the enterprise and across the industry.
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- Extensive senior AI, data science, data engineering, and AI architecture experience delivering
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- Hands-on building AI models, including LLMs and LVMs, across diverse data types
Apply for this position
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