Staff MLOps Engineer: Scale ML Deployments & CI/CD

Trinet; Decatur (GA); On-site; USD 125,000 - 275,000; Full time

Job summary

TriNet is seeking a Staff MLOps Engineer in Atlanta to design, implement, and optimize ML operations within our infrastructure. You will collaborate with data scientists, software engineers, and DevOps to deploy and maintain ML models across production environments.

The role requires 8+ years in MLOps/DevOps, strong Python/Java and ML frameworks, and experience with Docker, Kubernetes, CI/CD, and cloud platforms.

Qualifications

• Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred.
• 8+ years in MLOps/DevOps roles within a technical engineering environment.
• 8+ years experience with Python/Java and ML frameworks (TensorFlow, PyTorch, etc.).
• Experience with CI/CD pipelines, Git, and automation tools.

Responsibilities

• Develop, manage, and scale infrastructure for ML model deployment, including orchestration and monitoring.
• Design automation pipelines for model training, testing, validation, and deployment with CI/CD.
• Deploy ML models to production, establish monitoring and data drift alerts, and optimize model efficiency.
• Collaborate with data scientists, software engineers, and DevOps to integrate ML into existing systems.

Skills

Python

Java

ML frameworks

CI/CD pipelines

Git

Data modeling

Cloud platforms

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Docker

Kubernetes

Tableau

Job description

TriNet is seeking a Staff MLOps Engineer in Atlanta to design, implement, and optimize ML operations within our infrastructure. You will collaborate with data scientists, software engineers, and DevOps to deploy and maintain ML models across production environments.

The role requires 8+ years in MLOps/DevOps, strong Python/Java and ML frameworks, and experience with Docker, Kubernetes, CI/CD, and cloud platforms.