Senior AI Systems Engineer – Material Intelligence
Florianóplis, SANTA CATARINA, Brazil
BRL 185K-275K (estimate) Senior-level Full Time
Tasks
- Analyze and improve data pipelines
- Build and integrate AI tools and lightweight agents
- Build scalable AI enabled material data systems
- Collaborate with stakeholders on AI system understanding
- Contribute to AI infrastructure and tooling design
- Create model validation interpretability and reproducibility standards
- Develop predictive models for material properties
- Document system architectures and modeling decisions
- Evaluate model performance for robustness generalization and uncertainty
- Prepare structured material datasets for machine learning
- Translate AI concepts into material science insights
- Use LLMs for automation and developer support
Perks/Benefits
Skills/Tech-stack
API | Automation | Data Modeling | Data Pipelines | Data Preparation | Feature Engineering | LLMs | Machine Learning | Model Interpretability | Model Validation | Python | Reproducibility | Structured data | Uncertainty Estimation
Education
N/A
Roles
AI | AI Systems Engineer | Engineer | Senior AI Systems Engineer | Systems Engineer
Regions
Countries
States
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