Job Description

About the team:


Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines.


About Role:


This role supports Elsevier’s large-scale research platforms by turning experimental NLP, search, and GenAI models into secure, reliable, and scalable production services. It focuses on ML and LLM engineering across cloud platforms, including building end-to-end ML pipelines, MLOps infrastructure, and CI/CD for models used in search, recommendations, ...

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