About this role
Machine Learning Engineer I - Large Language Models - AI & Human Health Research at Mount Sinai Health System. Location: New York, New York, United States. Role: building ETL, monitoring models, deploying LLMs Requirements: Bachelor's in a quantitative field required; knowledge of Python/Scala/Java/C/C++, big data (Hadoop, Spark), SDLC, SQL; familiarity with ML algorithms, EMR data sources, and independent problem solving. Master's and 2+ years in data/software/ML preferred. Category: Data and Analytics Seniority: Entry Level Tools: Scala, Python, Java, C, C++, Hadoop, Spark, SQL, MLflow, Kubeflow, Airflow, Pinecone, Weaviate, FAISS, pgvector, Milvus, LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI, Anthropic, Azure OpenAI, Google, AWS Bedrock, LangSmith, Langfuse, Arize, Ragas, DeepEval, LoRA, QLoRA, PEFT, vLLM, TGI, Triton, Docker, Kubernetes, Git Commitment: Full Time Workplace: Onsite Languages: English