Conduct research into fundamental computer and information science as a theorist and designer. Develop solutions to problems in the field of computer hardware and software. Develop and deploy predictive machine learning models to estimate the severity of insurance claims early-on in the claim's life cycle using Python, PySpark, and Azure. Improve information retrieval systems using NER, Generative AI (Flan-T5, Gemini, ChatGPT) and transformer-based models (BERT). Research and optimize Retrieval-Augmented Generation (RAG) powered LLM systems using vector databases (FAISS), quantization, and fine-tuning (LoRa) to improve feature extraction from unstructured data.
Position requires a Master's Degree in Statistics, or Mathematics, or equivalent. Permanent US work auth. reqd.
Contact: Milliman, Inc., 71 S. Wacker Dr., 31st Fl., Chicago, IL 60606, or [email protected]. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Salary range: $129,709-$138,820/Year.
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