Overview
On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 9 Month(s)
100% Travel
Unable to Provide Sponsorship
Skills
Machine Learning (ML)
Algorithms
Amazon Web Services
Artificial Intelligence
Insurance
Machine Learning Operations (ML Ops)
Microsoft Azure
Cloud Computing
Fraud
Good Clinical Practice
Google Cloud Platform
Natural Language Processing
Optimization
Pricing
Product Requirements
Testing
Training
Underwriting
Use Cases
Workflow
Job Details
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
- Collaborate with product managers, actuaries, and underwriting SMEs to translate insurance product requirements into AI-enabled functional components.
- Develop AI models that support rating algorithms, claims triage, eligibility checks, policy servicing workflows, and agent enablement.
- Ensure AI outputs comply with insurance regulations, underwriting guidelines, and internal governance.
Model Engineering & Deployment
- Lead development, training, validation, and deployment of ML models.
- Implement MLOps pipelines for automated model testing, monitoring, drift detection, and versioning.
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