Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 65.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design and implement critical ML systems, develop end-to-end pipelines, and optimize models for real-world applications within an agile team to enhance data process quality and efficiency.
Job Technologies
Your role in the team
- 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.
- 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.
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Our expectations of you
Education
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics or a related field of study.
Qualifications
- Proficiency in SQL and data modeling with EDA for pattern and dependencies identification.
- 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.
Experience
- 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).
- 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.
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What we 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.
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Benefits
Work-Life-Integration
More net
Food & Drink
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
RHI Magnesita
Wien
At RHI Magnesita, we are the world's leading provider of refractory products and services. We have the most locations around the globe, as well as the most innovative, reliable products and services. Our offerings cover everything from mining to production to full-service solutions, all with a focus on delivering quality and reliability that is unparalleled in our industry.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production