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Department: Global Operations & Production
Job ID: 44635
Professional | Permanent | Full-time | Hybrid
Our Corporate Functions teams make sure everything at Grünenthal runs smoothly by bringing together people with a wide range of skills – from experts in finance, IT, HR, law and compliance through to business strategists and creative media minds. If you’re a great collaborator and a strong communicator, you’ll feel right at home here. Join our team and join forces with colleagues across our business to maximise our company’s positive impact on patients and their families.
What the job looks like
Each day you’ll enjoy a variety of challenges, such as:
* Develop, implement, and orchestrate machine learning models and multi-agent AI systems to solve complex business challenges.
* Leverage Databricks to operationalize pipelines and deploy AI workflows from prototype to production.
* Collaborate with cross-functional stakeholders to transform business problems into scalable AI solutions.
* Clean, preprocess, and engineer data with pyspark to ensure its quality, reliability, and relevance for downstream modeling.
* Stay current with emerging trends in ML, LLM, RAG, AI Agents, Agentic AI
* Contribute to the development and documentation of best practices, standards, and reusable components within the team.
What you'll bring to the table
To make the most of this role and truly thrive, you should have:
Required Qualifications
* Master's or Ph.D. in Computer Science, Data Science, AI, Engineering, or a related quantitative field.
* Proven experience delivering AI/ML solutions from prototype to MVP using frameworks like MLFlow, PyTorch, TensorFlow.
* Proven experience in building multi-agent systems using LLMs, RAG, AI Agents, Agentic AI and orchestrating interactions using frameworks like LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel.
* Strong proficiency in Python and PySpark for scalable machine learning and data processing
Preferred Qualifications
* Hands-on experience with Databricks in a production environment and familiarity with Azure Solution Architecture.
* Experience developing Python-based front ends using Streamlit, Plotly Dash, Django or similar.
Exceptional Qualifications
* Proficiency in graph data science using NetworkX or similar packages.
* Proficiencey in deploying and maintaining Neo4j on virtual machines.
* Deep understanding of Cypher query language and its application in real-world graph problems such as shortest path.
* Demonstrated ability to apply graph-based methods to AI and Agentic AI use cases.
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"Join us in revolutionizing the way we harness and leverage data to ensure safe, efficient and reliable product supply to our patients!"
Frietjoff Meyer, the Hiring Manager
Grünenthal is a global leader in pain management and related diseases. As a science-based, fully-integrated pharmaceutical company, we have a long track record of bringing innovative treatments and state-of-the-art technologies to patients worldwide. Our purpose is to change lives for the better – and innovation is our passion. We are focusing all of our activities and efforts on working towards our vision of a world free of pain.
Grünenthal is headquartered in Aachen, Germany, and has affiliates in 27countries across Europe, Latin America and the US. Our products are available in approx. 100 countries. In 2023, Grünenthal employed around 4,400 people and achieved revenues of € 1.8bn.
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