Senior ML Ops Engineer at Elsevier

You are a senior MLOps engineer with hands-on experience shipping production-grade GenAI or search systems and a strong grasp of the data science life cycle. Your background likely includes managing complex ML pipelines on major cloud platforms within health technology or scholarly content environments. **What makes it worth a look...** Elsevier offers a competitive base salary range of $95,300 to $171,954 depending on your location, plus an annual incentive bonus. This is a full-time role with flexible work options in Philadelphia or various home-based states including NJ, CT, GA, VA, MA, MD, PA, and DE. **You might be a good fit if you...** * Have experience with MLOps platforms like AWS SageMaker, MLflow, or Azure ML. * Can build pipelines using vector or graph databases such as Neo4j, Elasticsearch, or OpenSearch. * Possess strong proficiency in Python, Java, or Scala. * Understand LLM evaluation techniques like RAG metrics, NDCG, and A/B testing.