Senior AI Systems Engineer – Material Intelligence at NETZSCH Group

Florianópolis, Santa Catarina, Brazil -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Data Science, Python, Data Pipelines, Feature Engineering, Predictive Modeling, Model Validation, LLMs, Agent Systems, Data Analysis, Software Engineering, System Architecture, Material Science, Automation

Industry

Machinery Manufacturing

Description

Company Description 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. Job Description In this role, you will primarily contribute to MaterialIQ, 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 to build internal AI and data science capability for material intelligence systems. You will work with structured, complex, and often limited material datasets and help develop robust, interpretable, and production-relevant models. At the same time, you will ensure that knowledge about data pipelines, feature engineering, model assumptions, and validation strategies is understood, documented, and internalized. Qualifications Responsibilities: • Work with structured 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 of predictive 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 for AI-enabled material data systems. • Build and integrate AI-based tools and lightweight agent systems to improve workflows. • Use LLMs 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 with machine 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 about model assumptions, limitations, and robustness; Experience with data pipelines and data preparation; Familiarity with modern AI tooling (LLMs, APIs, basic automation) — deep specialization in agent systems is not required; Exposure to scientific, engineering, or physics-related data is a strong plus. Additional Information 📍 CLT or PJ contract 🏡 Preferably hybrid work in Florianópolis or Curitiba. Ort 1: Florianópolis Ansprechpartner: Florian Christ Ort 2: Curitiba Telefonnummer Ansprechpartner: +49 9287 9191 576

Responsibilities

You will build and scale AI systems for material intelligence, focusing on developing robust data pipelines and predictive models. Additionally, you will document system architectures and collaborate with stakeholders to translate data science concepts into material-science-relevant insights.