ML Architect

Responsibilities

• Define the Machine Learning architecture of the solution
• Design approaches for model training, serving, and operationalization
• Define forecasting and optimization strategies
• Ensure scalability, robustness, and evolvability of the AI/ML solution
• Define integration standards between models, pipelines, and operating systems
• Provide technical support to Data Science and ML Engineering teams
• Evaluate ML/AI approaches, frameworks, and technologies
• Ensure alignment between business requirements, architecture, and technical implementation
• Support the definition of observability, monitoring, and model explainability

Requirements

• Strong experience in AI/ML solution architecture
• Ability to design scalable and production-ready solutions
• Experience in model operationalization and MLOps
• Ability to align architecture, business, and technical implementation
• Profile oriented towards robustness, scalability, and solution sustainability

About the Company

Glintt Global is a leading company in the Iberian Peninsula in Consulting and Technological Services, with over 30 years of experience. We aim to impact people's quality of life through innovation, technology, knowledge, and ambition.