Senior Applied ML Engineer: GenAI in Production (Java/Spring)

Aimlroles

Northern (KY)

Hybrid

USD 120,000 - 194,000

Full time

14 days+
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Job summary

Allstate is seeking a Machine Learning Software Engineer Senior Consultant II to drive full-stack development and production deployment of ML and GenAI solutions. The role emphasizes software engineering excellence, TDD, and rapid iteration while delivering scalable backend services and interfaces.

The candidate will own architecture decisions, mentor juniors, and ensure secure, observable systems with robust deployment pipelines across cloud environments.

Qualifications

  • 3+ years of software engineering experience in a production environment.
  • Strong Java/Spring Boot development experience required.
  • Experience deploying GenAI and/or machine learning systems into production is highly desirable.

Responsibilities

  • Contribute to architecture and design decisions for the product.
  • Develop and maintain features across UI, APIs, backend, and infrastructure.
  • Practice test-driven development and pair programming daily.
  • Improve test coverage and adhere to TDD practices.
  • Lead or mentor junior team members on technologies and best practices.
  • Establish and maintain CI/CD pipelines and automated deployment processes.
  • Participate in daily standups and cross-site/product team meetings.
  • Troubleshoot production issues and perform root cause analysis.

Skills

Java 17+
Spring Boot
Python
GenAI in production
CI/CD pipelines
MongoDB
OAuth/OIDC/SSO
Observability
Cloud services

Tools

Jenkins
GitHub Actions

Job description

Allstate is seeking a Machine Learning Software Engineer Senior Consultant II to drive full-stack development and production deployment of ML and GenAI solutions. The role emphasizes software engineering excellence, TDD, and rapid iteration while delivering scalable backend services and interfaces.

The candidate will own architecture decisions, mentor juniors, and ensure secure, observable systems with robust deployment pipelines across cloud environments.

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