MLOps Engineer - Production ML & Scalable Pipelines

ImagineSoftware™ (Technology Partners, LLC); Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

ImagineSoftware is seeking a motivated MLOps Engineer to bring machine learning models into scalable production environments for healthcare solutions. You will lead end-to-end ML pipelines and partner with data science to productionize models.

The role emphasizes cloud-native infrastructure on AWS, CI/CD for ML, monitoring, governance, and a fast-paced environment with opportunities for growth.

Qualifications

• BS in computer science, engineering, data science, or related technical field.
• 5+ years of experience in machine learning engineering.
• 3+ years of hands-on experience in MLOps or production ML systems.

Responsibilities

• Define and lead the MLOps vision, architecture, and roadmap across model development and production environments.
• Design end-to-end ML pipelines from data ingestion to deployment and monitoring.
• Partner with Data Science teams to productionize models reliably.
• Build and maintain tooling for experimentation, model tracking, and reproducibility.

Skills

Python programming

Java

Airflow

Kubeflow

Step Functions

CI/CD

DevOps

MLflow

Feast

Kafka

Spark

AWS

SageMaker

real-time ml systems

batch ml systems

Education

BS in computer science, engineering, data science, or related technical field

Tools

Airflow

Kubeflow

Step Functions

MLflow

Feast

Kafka

Spark

SageMaker

Job description

ImagineSoftware is seeking a motivated MLOps Engineer to bring machine learning models into scalable production environments for healthcare solutions. You will lead end-to-end ML pipelines and partner with data science to productionize models.

The role emphasizes cloud-native infrastructure on AWS, CI/CD for ML, monitoring, governance, and a fast-paced environment with opportunities for growth.