2 months ago
Remote, United States or Philadelphia, PA, USASenior
Base Salary
$95k - $159k/yr
Responsibilities
- Automate and orchestrate machine learning workflows across AWS, Azure, Databricks, and foundation model APIs.
- Maintain and version model registries and artifact stores to support reproducibility and governance.
- Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment.
- Build and scale machine learning pipelines using AWS SageMaker, MLflow, and Azure ML.
- Design engineering components for RAG systems, including query interpretation, chunking, embeddings, hybrid retrieval, semantic search, prompt libraries, guardrails, and structured LLM output.
- Develop ML pipelines using Elasticsearch, OpenSearch, Solr, vector databases, and graph databases.
- Build evaluation pipelines for information retrieval metrics, LLM quality metrics, and A/B testing.
- Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization.
- Collaborate with subject-matter experts, product managers, data scientists, responsible AI experts, and operations engineers to deliver production data science solutions.
Requirements
- Current experience in ML Engineering, MLOps platforms, and shipping ML, search, or GenAI systems to production.
- Hands-on experience with major cloud platforms, including AWS, Azure, and/or Google Cloud.
- Experience with search, vector, and graph technologies such as Elasticsearch, OpenSearch, Solr, and Neo4j.
- Experience evaluating LLM models and understanding data science lifecycle activities such as feature engineering, model training, and evaluation metrics.
- Familiarity with ML frameworks including PyTorch, TensorFlow, and PySpark.
- Experience with large-scale data processing systems such as Spark.
- Experience with statistical analysis, machine learning theory, and natural language processing.
- Strong Python, Java, and/or Scala experience is a plus.
- Background in health technology and/or medical content workflows is preferred.
Benefits
- U.S. National Base Pay Range: $95,300 - $158,800, with geographic differentials in some locations and an annual incentive bonus.
- Country-specific benefits are available based on work location.
- The employer provides a fair and accessible hiring process with accommodation support.
Tech Stack
Categories
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.