Senior ML Ops Engineer at Elsevier

You are an experienced engineer who has moved beyond experimental models to shipping production-level GenAI and RAG systems. You should be comfortable managing the messy intersection of large-scale data processing, vector databases, and LLM orchestration within a sophisticated medical information landscape. **What makes it worth a look...** The base salary range reaches up to $171,954 depending on your location, and the role includes an annual incentive bonus. You get to work on high-impact clinical AI platforms like Clinical Key AI while enjoying a flexible range of home-based options across the East Coast. **You might be a good fit if you...** * Have hands-on experience scaling custom SageMaker pipelines and managing MLflow or Azure ML. * Are proficient in Python, Java, or Scala for building hybrid retrieval and semantic search systems. * Know how to implement LLM guardrails and evaluate models for faithfulness and grounding. * Work regularly with Elasticsearch, OpenSearch, or vector databases like Neo4j.