Teams at SAGEA

Assists with testing and validating AI models, data processing pipelines, ETL workflows, and experimental systems. Identifies bugs and performance issues, supports test automation and documentation, and helps maintain reproducibility. This apprenticeship provides supervised, hands-on experience with QA practices for AI research and deployment.

Conduct original research on reasoning-focused AI systems by developing algorithms, architectures, and training methods. Design experiments, ablation studies, evaluations, and theoretical analyses; collaborate with research engineers on prototypes; synthesize research across language, multimodal, and reasoning systems; and contribute to technical strategy and publications.

Protect AI models, data, pipelines, and infrastructure by designing security controls, monitoring access, assessing vulnerabilities, securing CI/CD workflows, supporting privacy and compliance, responding to incidents, and advising on secure architecture and risk reduction.