Description

You will design, develop, and deploy AI capabilities for next-generation insurance products.

Responsibilities

• Design end-to-end AI/ML architecture for insurance use cases like risk scoring and fraud detection.
• Build scalable ML systems using cloud-native solutions and MLOps frameworks.
• Translate insurance product requirements into functional AI components for rating and claims.
• Lead the development, training, validation, and deployment of ML models.
• Ensure AI outputs comply with insurance regulations and implement responsible AI frameworks.

Required Skills

• 5+ years of experience in AI/ML engineering and architecture.
• Expertise in ML Frameworks, LLMs, NLP, and Generative AI.
• Strong background in Azure cloud architecture, including Azure AI Services.
• Experience implementing MLOps pipelines, including CI/CD for model monitoring.
• Hands-on experience with Microservices, APIs, and containerization (Docker, Kubernetes).
• Deep understanding of insurance processes in a specific line of business.
• Strong analytical and problem-solving abilities.
• Ability to explain AI concepts to non-technical stakeholders.

Key Skills

Education

Any Graduate