Description:
AI Architecture & Solution Design Design end-to-end AI/ML architecture for insurance-specific use cases such as underwriting automation, risk scoring, fraud detection, customer personalization, and pricing optimization.Select and define the appropriate AI technologies, model architectures (LLMs, predictive ML, NLP, vision models), and data pipelines.Build scalable ML systems using cloud-native solutions (AWS, Azure, or Google Cloud Platform) and ML Ops frameworks.Insurance Product Development Co
Dec 1, 2025;
from:
dice.com