IND Applied AI Scientist
Core
Design, operationalize, and monitor machine learning and Generative AI models for an insurance company, focusing on NLP, RAG, and compliance use cases.
Role type
Staff Applied AI Scientist
Builds
Production ML models and GenAI solutions (RAG, agents) for insurance workflows
Domain
Insurance + Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Python, pandas, NumPy, scikit-learn, SQL, PyTorch, TensorFlow, deep learning, NLP, Generative AI, RAG, embeddings, retrieval strategies, prompt engineering, cloud platforms (Vertex AI, SageMaker, Bedrock), containerization, Git
Preferred skills
Experience with Duck Creek or Ratabase, domain-specific knowledge graph integration, synthetic data generation
Technologies
Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Google Vertex AI, AWS SageMaker, Azure AI Services, Git
Responsibilities
Design and operationalize model evaluation and monitoring approaches; deploy models and integrate scoring logic into production systems; work with unstructured data including document parsing and OCR; communicate modeling decisions to technical and non-technical audiences; align model development with compliance, privacy, and ethical standards
Seniority
Staff, hands-on IC with strategic impact