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CLM Dallas Chapter seeks an experienced software engineer to operationalize predictive and generative AI models as production microservices and feature pipelines. You will build event-driven and API-based integrations between predictive services and enterprise claims platforms.
Requirements include 5+ years in software engineering with strong Java, Spring Boot, and AWS skills, plus a Bachelor's or Master's degree in a technical or business discipline.
Operationalize predictive and generative AI models as production microservices and feature pipelines. Build event-driven and API-based integrations between predictive services and enterprise claims platforms.
Requirements: Requires at least five years of software engineering experience with strong proficiency in Java, Spring Boot, and various AWS services. A bachelor's or master's degree in a technical or business discipline is required.
Key Skills: Java, Spring Boot, AWS Lambda, API Gateway, Step Functions, SQS, DynamoDB, S3, RDS/MySQL, AWS CDK, Python, Kafka, Apache Airflow, Snowflake, MLOps, CI/CD
Benefits: