Senior Applied ML Engineer GenAI in Production (Remote)

Allstate Private Limited; United States; Remote; USD 120,000 - 194,000; Full time

Benefits offered by this job

Laptop, monitors, headset, keyboard, &

Monthly connectivity reimbursement

Job summary

Allstate is seeking a Machine Learning Software Engineer Senior Consultant II to own full-stack delivery, mentor peers, and drive GenAI adoption in production. Strong Java/Spring Boot and Python skills are required, with CI/CD and cloud experience.

You will design features across UI, APIs, and backend services, participate in architecture decisions, and ensure secure, reliable deployments with automated testing and monitoring.

Qualifications

• 3+ years of experience in software engineering.
• Strong Java 17+ and Spring Boot 4.x+ proficiency.
• Proficiency in Python.
• Experience deploying GenAI and/or ML systems to production (preferred).
• Experience building and/or supporting CI/CD pipelines (Jenkins, GitHub Actions).
• Experience with MongoDB schema design, indexing, and performance optimization.
• Experience supporting production applications, monitoring, and incident response.
• Familiarity with OAuth/OIDC/SSO authentication.
• Familiarity with cloud services (AWS, Azure, GCP).

Responsibilities

• Designs, develops, and maintains features across UI, APIs, backend services, and supporting infrastructure.
• Owns architecture and design decisions within a team setting.
• Establishes CI/CD pipelines and automated deployment processes.
• Troubleshoots production issues and performs root cause analysis.
• Ensures security findings are remediated and compliance requirements met.
• Mentors junior engineers and leads at least one tech stack.

Skills

Java 17+

Spring Boot

Python

GenAI in production

CI/CD

MongoDB

OAuth / OIDC / SSO

Observability / monitoring

Cloud services (AWS/Azure/GCP)

Tools

Jenkins

GitHub Actions

MongoDB

Job description

Allstate is seeking a Machine Learning Software Engineer Senior Consultant II to own full-stack delivery, mentor peers, and drive GenAI adoption in production. Strong Java/Spring Boot and Python skills are required, with CI/CD and cloud experience.

You will design features across UI, APIs, and backend services, participate in architecture decisions, and ensure secure, reliable deployments with automated testing and monitoring.