AI/ML Engineer – Insurance Domain

We are seeking an AI/ML Engineer to design, develop, and deploy production-grade ML models for insurance use cases. The role involves building predictive, NLP, and computer vision models, implementing end-to-end ML pipelines on AWS SageMaker, and ensuring scalable, secure, and compliant ML operations.

Key Responsibilities

• Develop models for claims prediction, fraud detection, underwriting risk, loss forecasting, and policy lapse.

• Implement NLP for claims and policy documents; computer vision for damage assessment.

• Build and maintain ML pipelines using SageMaker, Lambda, S3, ECR, ECS/EKS.

• Deploy real-time and batch inference endpoints; manage versioning, retraining, and monitoring (data/concept drift, bias).

• Integrate CI/CD for ML with CodePipeline/CodeBuild and maintain model governance and compliance documentation.

Technical Skills

• Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow), SQL.

• AWS SageMaker, Feature Store, IAM, VPC, S3, Lambda, ECS/EKS, Docker.

• API deployment (REST/gRPC); Infrastructure as Code (CloudFormation/Terraform).

Competencies

• Production ML deployment experience, problem-solving, and analytical skills.

• Ability to collaborate with actuarial, analytics, and DevOps teams.

• Focus on scalable, maintainable, and compliant ML solutions.

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