Vienna | Full time

Your position

At RHI Magnesita, we are transforming how data and AI drive our global operations. As a Data Scientist, you will design, build, and deploy end-to-end AI and ML solutions that impact critical business processes across our industrial value chain. Joining our central Data & Analytics team, you will collaborate with data engineers, product teams, and domain experts to deliver high‑impact AI and ML systems while ensuring data quality, lineage, and governance.This is a chance to shape the future of AI at the world’s leading refractory company by building models, platforms, and infrastructure that matter.

Our Tech stacks

• Languages & frameworks: Python, SQL, PyTorch/TensorFlow, Pandas, Spark 
• Platforms: Databricks, MLflow, Vector Databases, Lakehouse/Delta 
• DevOps & workflows: Azure DevOps, Docker, CI/CD
• Cloud: Azure

Your tasks

• Designing, developing, and maintaining end‑to‑end ML pipelines for training, evaluation, and deployment across batch and real‑time use cases
• Productionizing ML models via APIs or batch inference, including telemetry, A/B testing, drift detection, and automated monitoring
• Building reliable data preparation and feature engineering components
• Optimizing model training and inference performance and cost, including hardware selection, caching, vectorization, quantization, and scalable endpoints
• Establishing and maintaining CI/CD workflows for ML systems, contributing to platform standards, documentation, and runbooks

Your profile

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics or a related field of study
• Several years of experience in building production-grade ML systems, with Python and ML frameworks (pandas, numpy, scikit-learn, PyTorch, TensorFlow) as well as containerization and CI/CD (Git, Docker, orchestration/workflows)
• Proficiency in SQL and data modeling with EDA for pattern and dependencies identification.
• Experience with Vector Indexes, Embedding Models, LLM agent patterns, ingestion pipelines, and model serving frameworks (e.g., MLflow, Databricks).
• Experience with unified data/AI platforms like Databricks, including Unity Catalog, governance concepts, A/B testing, causal inference, and experimentation platforms

Languages: English – fluent

Nice to have: Any relevant cloud or data/AI certifications. Familiarity with writing and debugging LLM tools in OOP python format, with focus on Generative AI (prompting, RAG, vector search) and MLOps

Our offer 

The annual gross salary for this full-time position starts at € 65,000.00 with a competitive package based on qualifications, experience, and market values. 

Flexibility: Possibility of up to 50% home office and flexible, trust-based working hours 

Mobility: Annual public transport pass (Wiener Linien) 

Health: Sponsorship of sporting events, platform for mental & physical health (Mavie)  

Plus: Our own café and daily food allowance for numerous restaurants (Europlaza), corporate benefits platform 

In addition to these local benefits for Vienna, we also offer you many global benefits.  

Do you want to take the next step?

Please apply online, as applications by e-mail cannot be considered for data protection reasons. Here you can find all the details about our application process.

At RHI Magnesita, everyone is welcome! We embrace diversity in all forms and evaluate applications solely based on qualifications and experience. If you share our passion for shaping tomorrow’s world, we’d love to hear from you, even if you don’t meet all the requirements. We also actively encourage individuals with disabilities to submit their application.

Do you have more questions?

Saradha Vathana Selvendran (Talent Acquisition Partner)

E-Mail: talent.europe@rhimagnesita.com

Phone number/ WhatsApp: +31650072980

About RHI Magnesita

As the global leader in refractories, we supply advanced products, technologies and services essential for high-temperature industrial processes in sectors such as steel, cement, and glass. With around 20,000 employees and production sites across the globe, we are committed to fostering innovation, sustainability, and market leadership. By leading the industry in reducing emissions and supporting our customers' transitions to greener solutions, we are shaping tomorrow’s world.

Find out more here:

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