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What we offer
At Evonik, one of the world’s leading specialty chemicals companies, you can expect an (IT) world full of possibilities: Our IT team, with nearly 1,000 employees worldwide, stands for cutting-edge apps and technologies.
In close collaboration with our 33,000 colleagues, we develop innovative IT solutions for our products, services, business operations, and production processes.
In our department Enterprise AI you will join a global AI team of specialists in machine learning, data science, software development, and product management working across borders, united by a culture of openness, creativity, and collaboration.
We build impactful AI solutions that matter for science, sustainability, and innovation and want to help redefine how AI drives progress in a global chemical enterprise.
If you are interested to shape the future of AI in the chemical industry together with colleagues who share your mindset and passion, we`d love to meet you.
Among attractive career paths and high-quality development programs, we not only offer performance-based remuneration and occupational health benefits but also hybrid and flexible working environments with #SmartWork.
Find out more about the many benefits we offer:
Responsibilities
Design and productionize Generative AI applications based on LLMs and custom fine-tuned SLMs with advanced retrieval methods like GraphRAG and other modern approachesExplore and implement agentic AI concepts that make systems more autonomous and scalableBuild and run AI solutions on Azure, leveraging Azure AI Foundry as the foundation.
All with strong focus on MLOps, observability, security and complianceWork closely with colleagues from production, R&D and corporate functions to turn business challenges into AI-driven solutions with measurable valueDrive innovation by experimenting with frameworks like LangChain, LangGraph, Langfuse or protocols like MCP, A2A, ACP and bring new ideas into production at scale.Requirements
Several years of experience in Machine Learning Engineering or Software Engineering with a strong focus on AIMasters degree in data-related technical field (depending on the functional location of the senior machine learning engineer, this can be e.g. Chemical Engineering, Statistics or Computer Science)Excellent programming skills in PythonProven experience in deploying LLMs and Generative AI in real-world scenariosSolid understanding of MLOps practices, CI/CD pipelines and scalable deploymentStrong expertise in data structures including tabular, time series, and continuous data and database interaction (SQL orNoSQL)Hands-on experience with data collection such as process monitoring sensors, analytical instruments, or relatedCuriosity, creativity and the ability to explain complex systems in a simple way to colleagues with diverse backgroundsNice to have: experience with GraphRAG, Agentic AI, MCP