Remote MLOps Engineer: Production AI & Pipelines

Royper Royco LLC; Northern (KY); Hybrid; USD 140,000 - 163,000; Full time

Benefits offered by this job

Fully remote

401(k) matching

Healthcare coverage

Professional development

Job summary

Royper Royco LLC is seeking an Operations Machine Learning Engineer to operationalize ML models and AI solutions for scalable production use. The role focuses on MLOps, cloud platform engineering, and data engineering to enable experiments to move into production.

You will build automated pipelines, deployment frameworks, and monitoring systems, collaborating with data scientists, software engineers, and business stakeholders to ensure reliability and measurable business impact.

Qualifications

• Bachelor's degree in a quantitative or technical discipline.
• At least three years of relevant experience in machine learning engineering or related field.
• Experience building production-grade data pipelines and ML workflows using Python.

Responsibilities

• Transform ML models and AI solutions into scalable, production-ready workflows.
• Design and maintain automated data and model pipelines using Python and cloud technologies.
• Establish reusable deployment patterns, CI/CD pipelines, and engineering standards.

Skills

Python

AWS

Databricks

Spark

CI/CD

Data engineering

MLOps

Cloud platform engineering

Software engineering practices

Education

Bachelor's degree

Tools

AWS

Databricks

Spark

CI/CD tools

Job description

Royper Royco LLC is seeking an Operations Machine Learning Engineer to operationalize ML models and AI solutions for scalable production use. The role focuses on MLOps, cloud platform engineering, and data engineering to enable experiments to move into production.

You will build automated pipelines, deployment frameworks, and monitoring systems, collaborating with data scientists, software engineers, and business stakeholders to ensure reliability and measurable business impact.