Staff MLOps Engineer — Scale Production ML Deployments

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

Benefits offered by this job

Medical, Dental, Vision

401(k)

Employee stock purchase plan

Paid holidays

PTO

Leave program

Job summary

TriNet, a leading HR solutions provider, seeks a Staff MLOps Engineer to design and optimize ML operations within our infrastructure. You will collaborate with data scientists, software engineers, and DevOps teams to deploy and maintain ML models in production.

Ideal candidates have 8+ years in MLOps/DevOps, strong Python/Java experience, and hands-on knowledge of Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).

Qualifications

• Bachelor's degree in Computer Science or Engineering.
• 8+ years in MLOps/DevOps in technical environments.
• Proficient in Python/Java or similar languages.
• Experience with CI/CD and Git.
• Familiarity with ML frameworks and model deployment.

Responsibilities

• Develop, manage, and scale the infrastructure for ML model deployment.
• Design and implement automation pipelines for model training, testing, and deployment.
• Deploy ML models into production with monitoring and alerting.
• Collaborate with data scientists, software engineers, and DevOps teams.
• Ensure security, privacy, and governance throughout ML lifecycle.

Skills

SDLC knowledge

Data warehouse concepts

Communication skills

Problem solving

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

Tableau

CI/CD tools

Job description

TriNet, a leading HR solutions provider, seeks a Staff MLOps Engineer to design and optimize ML operations within our infrastructure. You will collaborate with data scientists, software engineers, and DevOps teams to deploy and maintain ML models in production.

Ideal candidates have 8+ years in MLOps/DevOps, strong Python/Java experience, and hands-on knowledge of Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).