Senior ML Ops Engineer

Elsevier
Philadelphia, Pennsylvania, United States
Full Time
On Site
Senior
USD 95,300 – 171,954
Technology Healthcare Life Sciences

Posted 3 days ago

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Excellent 4.7

Job summary

Senior ML Ops Engineer focused on deploying and managing advanced ML/AI systems, including LLMs, search, recommendation engines, and knowledge graphs, within cloud environments for healthcare applications, emphasizing security, scalability, and state-of-the-art research.

Responsibilities

Bridge Data Science and Engineering to transform experimental NLP and GenAI models into scalable, secure production services. Automate ML workflows, manage model registries, and design engineering components for GAR+RAG systems.

Qualifications

Cloud Platforms (AWS, Azure, Google) Data Science Leadership in ML projects Machine Learning Engineering ML pipelines MLOps platforms Model evaluation (NDCG, MAP, MRR) NLP and RAG models Python Search technology (Elasticsearch, OpenSearch, Solr)

Requires professional experience in ML Engineering and MLOps platforms with a strong background in shipping GenAI or search systems to production. Proficiency in Python and experience with cloud vendors (AWS/Azure/GCP) and vector/graph technologies is essential.

English

Benefits

  • Annual Incentive Bonus
  • Country Specific Benefits

Company

Elsevier

Elsevier

linkedin
Information Services
Location
Philadelphia, Pennsylvania, United States

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Excellent 4.7
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