Senior AI Systems Engineer – Material Intelligence

NEDGEX is an innovation unit focused on building and scaling new digital and AI-driven ventures. We work on high-impact, forward-looking initiatives across industries, combining strong engineering with applied AI.

In this role, you will primarily contribute toMaterialIQ, one of our key innovation projects. MaterialIQ focuses on developing AI systems based on material datasets to unlock deeper insights into material properties and behavior.

Your primary mission is tobuild internal AI and data science capability for material intelligence systems. You will work with structured, complex, and often limited material datasets and help developrobust, interpretable, and production-relevant models.

At the same time, you will ensure that knowledge about data pipelines, feature engineering, model assumptions, and validation strategies isunderstood, documented, and internalized.

Responsibilities: 
• Work withstructured material datasets and prepare them for AI and machine learning applications.
• Analyze and improve data pipelines, feature engineering approaches, and data representations.
• Support the development ofpredictive models for material properties and related use cases.
• Evaluate model performance with a strong focus on robustness, generalization, and uncertainty.
• Develop internal standards for model validation, interpretability, and reproducibility.
• Document system architectures, modeling decisions, assumptions, and limitations in a structured way.
• Collaborate closely with external partners and internal stakeholders to deeply understand AI systems.
• Translate AI and data science concepts into material-science-relevant insights.
• Contribute to building a scalable architecture forAI-enabled material data systems.
• Build and integrate AI-based tools and lightweight agent systems to improve workflows.
• UseLLMs pragmatically for automation, data processing, and developer support.
• Contribute to AI infrastructure and tooling design decisions.
• Ensure systems are reliable, maintainable, and usable in practice.

Your Profile

• Advanced English;
• Strong programming skills;
• Experience withmachine learning in real-world settings, especially with structured or industrial datasets;
• Solid understanding of:
  • Feature engineering
  • Model validation
  • Handling small or complex datasets
• Ability to reason aboutmodel assumptions, limitations, and robustness;
• Experience withdata pipelines and data preparation;
• Familiarity with modern AI tooling (LLMs, APIs, basic automation) — deep specialization in agent systems is not required;
• Exposure toscientific, engineering, or physics-related data is a strong plus.

📍 CLT or PJ contract

🏡 Preferably hybrid work in Florianópolis or Curitiba.