Senior MLOps Engineer — Scale & Automate ML Deployments

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

Benefits offered by this job

401(k) plan

Employee stock purchase plan

Medical, dental, and vision plans

Eleven company holidays and paid time‑

Job summary

TriNet is seeking a Staff MLOps Engineer to design, implement, and optimize ML operations within our infrastructure. You will partner with data scientists, software engineers, and DevOps to ensure reliable deployment and maintenance of ML models.

You will build automation pipelines, deploy models to production, and enforce security and governance across the ML lifecycle, staying current with new tools and methods.

Qualifications

• Bachelor's Degree in CS/Engineering or equivalent experience.
• 8+ years in MLOps/DevOps in a technical engineering environment.
• Proficiency in Python, Java and ML frameworks (TensorFlow, PyTorch).

Responsibilities

• Design, implement, and optimize ML operations infrastructure.
• Develop automation pipelines for model training, testing, validation, and deployment with CI/CD.
• Deploy ML models to production with monitoring and data-drift tracking.
• Collaborate with data scientists, software engineers, and DevOps teams.
• Ensure security and governance across the ML lifecycle.

Skills

MLOps

Python/Java

CI/CD

Git

Cloud platforms

Docker/Kubernetes

Data modeling

Tableau

Communication

SDLC / EDW

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

AWS/Azure/GCP

Git

Tableau

Job description

TriNet is seeking a Staff MLOps Engineer to design, implement, and optimize ML operations within our infrastructure. You will partner with data scientists, software engineers, and DevOps to ensure reliable deployment and maintenance of ML models.

You will build automation pipelines, deploy models to production, and enforce security and governance across the ML lifecycle, staying current with new tools and methods.