Senior ML Ops Engineer for GenAI & Semantic Search

Elsevier

United States

Remoto

USD 95.000 - 159.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Elsevier is seeking a Senior Machine Learning Engineer to bridge Data Science and Engineering, turning NLP/IR/GenAI models into secure, scalable services. You will work on AI-based features, search/ranking quality, and knowledge-graph retrieval while enforcing content rights.

You will collaborate with data scientists, PMs, and responsible AI experts to translate business problems into practical data science solutions within health platforms like Clinical Key AI and Sherpath AI.

Competenze

  • Experience shipping ML or GenAI systems to production.
  • Strong Python, Java, and/or Scala skills.
  • Hands-on with cloud vendor solutions (AWS, Azure, Google).
  • Experience with search/vector/graph technologies.
  • Understanding of DS life cycle: feature engineering, training, evaluation.

Mansioni

  • Automate and orchestrate ML workflows across major cloud and AI platforms (AWS, Azure, Databricks, OpenAI).
  • Maintain and version model registries and artifact stores for reproducibility and governance.
  • Develop and manage CI/CD for ML including data validation, model testing, and deployment.
  • Implement ML Engineering solutions using MLops platforms (SageMaker, MLflow, Azure ML).
  • Scale end-to-end SageMaker pipelines.
  • Design GAR+RAG systems with prompt libraries, guardrails, and structured output for LLMs.

Conoscenze

ML Engineering
MLOps
Production ML
Python/Java/Scala
Cloud Experience

Strumenti

SageMaker
MLflow
Azure ML
Elasticsearch/OpenSearch/Solr
Neo4j

Descrizione del lavoro

Elsevier is seeking a Senior Machine Learning Engineer to bridge Data Science and Engineering, turning NLP/IR/GenAI models into secure, scalable services. You will work on AI-based features, search/ranking quality, and knowledge-graph retrieval while enforcing content rights.

You will collaborate with data scientists, PMs, and responsible AI experts to translate business problems into practical data science solutions within health platforms like Clinical Key AI and Sherpath AI.

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