Hiring: ML OPs Engineer Company: Elsevier Location: Philadelphia, PA Job Posted Time: 2026-09-15 07:43:11 Employment Type: Hybrid Target Skills & Keywords : A/B Testing, AWS, Azure, CI/CD, Databricks, Elasticsearch, Java, LLM, MLOps, MLflow, Machine Learning, NLP, Neo4j, OpenSearch, PySpark, PyTorch, Python, RAG, SageMaker, Scala, Solr, Spark, TensorFlow About the job Required Skills: •ML & LLM Engineering, Search and Recommendation Engines •Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). •Maintain and version model registries and artifact stores to ensure reproducibility and governance. •Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. •Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. •Scale end-end custom Sagemaker pipelines. •Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. •Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Qualifications: •Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. •Strong Python, Java, and/or Scala experience will be considered a plus. •Hands-on‑ experience with major cloud vendor solutions (AWS, Azure and/or Google) •A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. •Background in health technology and/or medical content workflows is preferred. •Operational familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!