Role overview
Octapharma is one of the largest human protein manufacturers in the world, developing and producing human proteins from human plasma and human cell lines. We employ more than 11,000 people worldwide to support the treatment of patients in 120 countries with products across three therapeutic areas: Immunotherapy, Haematology and Critical Care. With seven R&D sites and five state-of-the-art manufacturing facilities in Austria, France, Germany, and Sweden, Octapharma also operates over 195 plasma donation centres across Europe and the US. With four decades of experience, we are committed to advancing patient care worldwide.
What you'll work on
- Agentic AI (incl. RAG, Retrieval Augmented Generation) applications implementation: Design, implement and maintain Agentic AI applications to support various areas of Octapharma’s core business (such as Manufacturing Science and Technologies, Research & Development, Sales)
- Model and solution monitoring: Design, implement and maintain monitoring solutions for our Agentic AI applications to ensure the highest possible quality of output for users
- Knowledge graphs: Implement and maintain relevant knowledge graphs that capture critical information about Octapharma’s knowledge and processes to support Agentic AI solutions.
- Machine Learning Operations (MLOps): design, implement, automate and maintain scalable machine learning pipelines using MLflow on Databricks. This work is done in collaboration with business partners.
- Data transformations: Design, implement and maintain data and orchestration pipelines to power generative AI solutions.
- Collaboration and Training: Work with the rest of IT and data science teams to integrate state-of-the-art generative AI solutions into business processes and workflows. Provide training and support to end-users if necessary.
- Regulatory compliance: Ensure all AI solutions comply with regulatory standards in the pharmaceutical industry, utilizing Azure security and compliance features.
- Coach and support teams in the various business functions to help them onboard onto relevant AI solutions (including but not limited to agentic platforms built on Databricks) and fully leverage the potential of these technologies.
Tags & focus areas
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