Join the team that powers Elsevier’s research platforms and bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services
Job Summary
Join the team that powers Elsevier’s research platforms and bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services.
We promote a healthy work/life balance and offer numerous wellbeing initiatives, flexible working hours, and a variety of employee benefits including a Dutch Share Purchase Plan and comprehensive pension plan.
Collaborate with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions.
Matching Summary
Join the team that powers Elsevier’s research platforms and bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services.
Skills & Requirements
Must-have
ML Engineering and MLOps platforms
Cloud platforms AWS Azure Databricks
Search vector graph technologies
Python programming experience
CI/CD for ML pipelines
NLP and GenAI model deployment
Nice-to-have
Experience with Java or Scala
Knowledge of scholarly publishing workflows
Familiarity with ML frameworks PyTorch TensorFlow
Collaboration with cross-functional teams
Focus on work-life balance
Experience with large scale data processing Spark
Key Requirements
4+ years ML Engineering experience
Experience shipping ML or search/GenAI systems to production
Hands-on with AWS Azure or Google cloud
Experience evaluating LLM models
Strong understanding of Data Science Life Cycle
Familiarity with Spark and large scale data processing