Senior AI Platform Engineer - Production ML & Microservices

CLM Dallas Chapter; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive Benefits

Workplace Flexibility

Professional Development Opportunities

Employee Resource Groups

Job summary

CLM Dallas Chapter seeks an experienced Software Engineer to operationalize AI models as production microservices within our claims platform. You will own health, monitoring, and alerting while collaborating with data scientists and product owners.

Requirements include 5+ years in software engineering, strong Java/Spring Boot, and extensive AWS experience. A technical or business degree and experience with MLOps are expected.

Qualifications

• Requires at least five years of software engineering experience with proficiency in Java, Spring Boot, and a wide array of AWS services.
• A degree in a technical or business discipline and experience with MLOps and data pipeline technologies are expected.

Responsibilities

• Operationalize predictive and generative AI models as production microservices and build event-driven integration layers for claims systems.
• Own the production health, monitoring, and alerting for these services while collaborating with data scientists and product owners.

Skills

Java

Spring Boot

AWS Lambda

API Gateway

Step Functions

SQS

DynamoDB

S3

RDS/MySQL

AWS CDK

Python

Kafka

Apache Airflow

Snowflake

MLOps

Datadog

Education

Bachelor's degree in a technical or business discipline

Tools

AWS Lambda

API Gateway

Step Functions

SQS

DynamoDB

S3

RDS/MySQL

AWS CDK

Kafka

Apache Airflow

Snowflake

MLOps

Datadog

Job description

CLM Dallas Chapter seeks an experienced Software Engineer to operationalize AI models as production microservices within our claims platform. You will own health, monitoring, and alerting while collaborating with data scientists and product owners.

Requirements include 5+ years in software engineering, strong Java/Spring Boot, and extensive AWS experience. A technical or business degree and experience with MLOps are expected.