Develop, test, and evaluate ML and DL models guided by hypotheses and experimentation;
Plan, execute, and measure experiments in a structured manner;
Define performance, robustness, reliability, and impact metrics for models;
Ensure explainability, traceability, and bias mitigation;
Support the transition from traditional solutions to AI-based approaches;
Work in an integrated way with data, architecture, and governance;
Contribute to defining and adopting MLOps practices and responsible AI;
Produce technical documentation and methodological reports.

Bachelor's degree in Computer Science, Information Systems, IT Management or related fields (Engineering, Mathematics, Statistics or similar).
Minimum of 5 years' experience in developing, implementing and applying Artificial Intelligence solutions.
Knowledge of Machine Learning, Deep Learning and applied statistical methods.
Experience with evaluation, validation and explainability of AI models.
Knowledge of MLOps and model lifecycle management.
Work aligned with ethics, governance and responsible AI principles.
Postgraduate degree in Data, Artificial Intelligence, Machine Learning or related areas.
Certifications in Artificial Intelligence, Data or Cloud.

Systems Architect – AI Specialist

Key skills