About this role
Mid-level Machine Learning Engineer to develop and scale RAG systems, focusing on retrieval models, embedding infrastructure, vector databases, and LLM orchestration to power agentic search and retrieval-driven applications across S&P Global platforms.
Skills for this role
Machine LearningNatural Language Processing (NLP)Information RetrievalLarge-scale Text ProcessingPythonPyTorchTransformersHuggingFaceLangChainLLamaIndexLLM OrchestrationRAGRetrieval ModelsEmbedding ModelsVector DatabasesPostgreSQLPGVectorOpenSearchPineconeSimilarity SearchVector Indexing AlgorithmsChunking AlgorithmsGraphRAGAgentic SearchPrompt EngineeringAI Agent EvaluationML PipelinesData ProcessingTrainingInference