Milliman India
Overview
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 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.
Responsibilities
Conduct research in computer science theory and design.
Develop solutions for problems in computer hardware and software.
Develop and deploy predictive ML models to estimate insurance claim severity early in the lifecycle using Python, PySpark, and Azure.
Improve information retrieval systems with Named Entity Recognition (NER), Generative AI, and transformer-based models (including BERT).
Research and optimize Retrieval-Augmented Generation (RAG) powered LLM systems with vector databases (FAISS), quantization, and fine-tuning (LoRa) to enhance feature extraction from unstructured data.
Qualifications
Position requires a Master’s Degree in Statistics, Mathematics, or equivalent.
Permanent US work authorization required.
Salary and Contact Salary range: $129,709-$138,820 per year
Salary/Compensation: $129,709 - $138,820 per year
Contact: Milliman, Inc., 71 S. Wacker Dr., 31st Fl., Chicago, IL 60606, or ChicagoHR@milliman.com
EEO Statement 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.
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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 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.
Responsibilities
Conduct research in computer science theory and design.
Develop solutions for problems in computer hardware and software.
Develop and deploy predictive ML models to estimate insurance claim severity early in the lifecycle using Python, PySpark, and Azure.
Improve information retrieval systems with Named Entity Recognition (NER), Generative AI, and transformer-based models (including BERT).
Research and optimize Retrieval-Augmented Generation (RAG) powered LLM systems with vector databases (FAISS), quantization, and fine-tuning (LoRa) to enhance feature extraction from unstructured data.
Qualifications
Position requires a Master’s Degree in Statistics, Mathematics, or equivalent.
Permanent US work authorization required.
Salary and Contact Salary range: $129,709-$138,820 per year
Salary/Compensation: $129,709 - $138,820 per year
Contact: Milliman, Inc., 71 S. Wacker Dr., 31st Fl., Chicago, IL 60606, or ChicagoHR@milliman.com
EEO Statement 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.
#J-18808-Ljbffr