This role focuses on building and deploying cutting-edge Generative AI models and Retrieval Augmented Generation (RAG) solutions to advance human progress in health sciences
Job Summary
This role focuses on building and deploying cutting-edge Generative AI models and Retrieval Augmented Generation (RAG) solutions to advance human progress in health sciences.
Candidates will be responsible for the entire lifecycle of data science projects, including design, implementation, evaluation, productionisation, and ongoing enhancement.
Elsevier offers a flexible work environment with comprehensive benefits including health insurance, paid time off, and subsidized meals in select locations.
Matching Summary
This role focuses on building and deploying cutting-edge Generative AI models and Retrieval Augmented Generation (RAG) solutions to advance human progress in health sciences.
Skills & Requirements
Must-have
Generative AI model development
Retrieval Augmented Generation (RAG) optimization
Natural Language Processing (NLP)
Python programming proficiency
Transformer models fine-tuning
AI agent management tools
Cloud platform deployment
Nice-to-have
Java programming experience
Mentoring junior data scientists
Agile environment collaboration
Multilingual content processing
Model drift robustness maintenance
Key Requirements
Bachelor or Master's degree in Computer Science or related field
3+ years of applied experience in Generative AI and NLP
Proficiency in Python for model development and deployment