ML Engineer (Hybrid/Remote) - Production ML & MLOps

Central Insurance Company; Alpharetta (GA); Hybrid; USD 102,000 - 140,000; Full time

Job summary

Central Insurance is seeking a Machine Learning Engineer to partner with actuaries, data scientists, and software engineers to design and deploy ML solutions.

You will build automated deployment, CI/CD, APIs, and production-ready workflows, with emphasis on reliability, scalability, and governance. This role offers hybrid/remote work depending on location and a competitive salary range.

Qualifications

• Master’s or Bachelor’s in CS/Data Science with production ML deployment experience.
• 2+ years deploying, maintaining, and supporting ML models in production.
• Experience developing CI/CD, automated testing, and release management for ML or software.
• Experience with containerization and orchestration tools is preferred.
• Strong programming experience in Python for ML, automation, and APIs.
• Familiarity with data validation, quality checks, and data pipelines for model scoring.

Responsibilities

• Designs, builds, tests, deploys, and supports ML solutions that are scalable and reliable.
• Partner with teams to transition models from experimentation to production-ready apps and workflows.
• Develops automated deployment and CI/CD processes for ML models and pricing solutions.
• Develops and supports APIs, services, and batch or real-time scoring workflows.
• Supports data pipeline development and validation for model scoring and monitoring.
• Implements model monitoring, observability, and logging for production health.

Skills

CI/CD pipelines

Containerization

Model monitoring

Python

SQL

APIs / microservices

Version control

Production ML deployment

Data validation

Data pipelines

Education

Master’s degree in Computer Science / Data Science / related field

Bachelor’s degree in Computer Science / Data Science / related field + 2 years experience

4 years related experience deploying ML models in production

Tools

Docker

Kubernetes

Terraform

Job description

Central Insurance is seeking a Machine Learning Engineer to partner with actuaries, data scientists, and software engineers to design and deploy ML solutions.

You will build automated deployment, CI/CD, APIs, and production-ready workflows, with emphasis on reliability, scalability, and governance. This role offers hybrid/remote work depending on location and a competitive salary range.