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

Central Insurance Companies; Irving (TX); Hybrid; USD 102,000 - 140,000; Full time

Job summary

Central Insurance is seeking a Machine Learning Engineer to collaborate with actuaries, data scientists, and engineers to design and deploy production ML solutions. You will build automated deployment pipelines, develop APIs and real-time scoring services, and ensure model monitoring, data quality, and governance across pricing workflows.

You will work in a hybrid or remote setup, with a focus on scalable, reliable systems and collaboration across stakeholders.

Qualifications

• Master's or Bachelor's in CS/Data Science or related field with production ML experience.
• Proven track record deploying, maintaining, and supporting ML models in production.
• Experience with CI/CD pipelines, automated testing, and rollback processes.
• Experience with containerization and orchestration (Docker/Kubernetes).
• Model monitoring, observability, logging and data drift detection optional but preferred.
• Python programming for ML engineering, automation and API development.
• SQL and data validation for model scoring and retraining workflows.

Responsibilities

• Designs, builds, tests, deploys, and supports ML solutions that are scalable and reliable.
• Collaborates with data scientists, actuaries, and software engineers to productionize models.
• Develops automated deployment and CI/CD processes for ML models and pricing solutions.
• Creates and supports APIs, microservices, and real-time scoring workflows.
• Supports data pipeline development for model scoring, retraining, and reporting.
• Implements model monitoring and production health practices.
• Contributes to MLops tooling, templates, tests, and documentation.
• Applies data governance, security and privacy in deployment and monitoring.

Skills

CI/CD pipelines

Docker

Kubernetes

Python

API development

Model monitoring

Education

Master's degree in CS/Data Science

Bachelor's degree in CS/Data Science (with 2 years exp)

4 years related production ML experience

Tools

Terraform

Job description

Central Insurance is seeking a Machine Learning Engineer to collaborate with actuaries, data scientists, and engineers to design and deploy production ML solutions. You will build automated deployment pipelines, develop APIs and real-time scoring services, and ensure model monitoring, data quality, and governance across pricing workflows.

You will work in a hybrid or remote setup, with a focus on scalable, reliable systems and collaboration across stakeholders.