Senior AI/ML Platform Engineer (Remote)

CSAA

Illinois

Remote

USD 105,000 - 140,000

Full time

6 days ago
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Job summary

CSAA Insurance Group is seeking a Software Engineer III for AI/ML Platform Operations. This remote role focuses on operating AI platforms, MLOps, automation, and reliability engineering across enterprise AI workloads.

You will collaborate with Data Engineering, Data Science, Architecture, and Security teams to ensure platform stability and governance while driving continuous improvement and adoption of AI capabilities.

Qualifications

  • 3+ years of software engineering, platform eng., cloud ops, MLOps, DevOps or related fields.
  • Bachelor's degree in CS/Engineering/IT or equivalent practical experience.
  • Experience with production AWS environments and cloud-native services.
  • Proficiency in Python/Java/JavaScript/TypeScript or Node.js.
  • Experience with CI/CD tools incl. Jenkins, GitHub Actions, Maven.
  • Experience building observability, monitoring, and alerting solutions.
  • Strong troubleshooting, incident response, and root-cause analysis skills.
  • Excellent communication and technical leadership abilities.

Responsibilities

  • Provide technical leadership for AI/ML platform operations (Palantir Foundry, AWS Bedrock, SageMaker).
  • Ensure reliability, scalability, security, and governance of AI workloads.
  • Lead deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions.
  • Develop automation, dashboards, alerts, logging, and runbooks.

Skills

Python
Java
JavaScript/TypeScript
Node.js
CI/CD
AWS
MLOps
DevOps

Education

Bachelor's degree

Tools

Jenkins
GitHub Actions
Maven
Datadog

Job description

CSAA Insurance Group is seeking a Software Engineer III for AI/ML Platform Operations. This remote role focuses on operating AI platforms, MLOps, automation, and reliability engineering across enterprise AI workloads.

You will collaborate with Data Engineering, Data Science, Architecture, and Security teams to ensure platform stability and governance while driving continuous improvement and adoption of AI capabilities.

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