Senior AI/ML Platform Engineer - Remote

CSAA

Tennessee

Remote

USD 105,000 - 140,000

Full time

6 days ago
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Benefits offered by this job

401(k) with company match
Annual bonus up to 8%
Remote-friendly
Flexible workplace

Job summary

CSAA Insurance Group is seeking a Software Engineer - AI/ML Platform Operations to lead the operational excellence of our AI and data platforms on a remote basis across the United States. You will work with Palantir Foundry, AWS Bedrock, SageMaker and other cloud-native services to keep enterprise AI workloads reliable and scalable.

You will collaborate with Data Engineering, Data Science, Architecture, Infrastructure, Security and Product teams to implement automation, observability,

Qualifications

  • 3+ years of software engineering or platform engineering
  • Bachelor's degree in CS/Engineering/IT or equivalent
  • Experience supporting production cloud apps in AWS
  • Strong Python/Java/JS/Node.js skills
  • Experience with CI/CD, build, integration, deployment tools
  • Experience with cloud-native services and observability

Responsibilities

  • Provide technical leadership for AI/ML platforms and cloud-native tech
  • Ensure reliability, scalability, and observability of production AI workloads
  • Design automation, monitoring, dashboards, and runbooks
  • Lead incident response and RCA for complex production issues
  • Collaborate with Data, Architecture, Security and Product teams

Skills

Python
Java
JavaScript/TypeScript
Node.js

Education

Bachelor's degree in Computer Science, Engineering, IT or related field

Tools

Jenkins
Maven
GitHub Actions
AWS Bedrock
SageMaker
Palantir Foundry

Job description

CSAA Insurance Group is seeking a Software Engineer - AI/ML Platform Operations to lead the operational excellence of our AI and data platforms on a remote basis across the United States. You will work with Palantir Foundry, AWS Bedrock, SageMaker and other cloud-native services to keep enterprise AI workloads reliable and scalable.

You will collaborate with Data Engineering, Data Science, Architecture, Infrastructure, Security and Product teams to implement automation, observability,

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