Senior Mlops

Elsevier

Amsterdam, Netherlands
Not specified; annual profit share bonus available...
Hybrid
4+ years ml engineering experience
Python programming proficiency
Aws sagemaker or azure ml platforms
This role bridges Data Science and Engineering to turn experimental NLP and GenAI models into secure, reliable, and scalable services

Job Summary

  • This role bridges Data Science and Engineering to turn experimental NLP and GenAI models into secure, reliable, and scalable services.
  • The team operates over one of the world's largest scholarly corpora while enforcing content rights and editorial confidentiality.
  • Benefits include a Dutch Share Purchase Plan, annual profit share bonus, comprehensive pension plan, and flexible working hours.

Matching Summary

This role bridges Data Science and Engineering to turn experimental NLP and GenAI models into secure, reliable, and scalable services.

Salary

Not specified; Annual Profit Share Bonus available; Comprehensive Pension Plan included

Skills & Requirements

Must-have

  • 4+ years ML Engineering experience
  • Python programming proficiency
  • AWS SageMaker or Azure ML platforms
  • Elasticsearch OpenSearch Solr vector DBs
  • CI/CD for ML workflows
  • LLM evaluation metrics implementation

Nice-to-have

  • Java or Scala experience
  • Scholarly publishing workflow knowledge
  • Bibliometrics or citation graph background
  • PyTorch TensorFlow PySpark frameworks
  • Databricks foundation model APIs
  • Neo4j graph database experience

Key Requirements

  • 4+ years in ML Engineering or MLOps
  • Strong Python skills required
  • Experience with major cloud vendor solutions
  • Hands-on search/vector/graph technology experience

Work Rights

Not specified

Tailored Resume

Cover Letter