Staff MLOps Engineer — Scale ML in Production (Cloud CI/CD)

Trinet; Peachtree Corners (GA); Hybride; USD 125 000 - 275 000; Plein temps

Avantages offerts par ce poste

Medical, dental, and vision plans

Life and disability insurance

401(k) savings plan

Employee stock purchase plan

Paid holidays and PTO

Résumé du poste

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

The role emphasizes building scalable pipelines, securing data privacy, and adopting best practices for model governance. Relocation and remote options may be considered based on business needs.

Qualifications

• Bachelor's degree in Computer Science, Engineering or equivalent experience preferred.
• Typically 8+ years in MLOps or DevOps in a technical engineering environment.
• Experience with Python/Java and ML frameworks like TensorFlow or PyTorch.

Responsabilités

• Develop, manage, and scale the infrastructure for machine learning model deployment, including orchestration and monitoring.
• Design and implement automation pipelines for training, testing, validation, and deployment with CI/CD.
• Deploy models to production with monitoring, alerting, and data-drift tracking; troubleshoot performance issues.

Connaissances

Python

Java

ML concepts

Communication

Problem solving

Formation

Bachelor's in CS/Engineering

Outils

Docker

Kubernetes

AWS

Azure

GCP

Git

Tableau

Description du poste

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

The role emphasizes building scalable pipelines, securing data privacy, and adopting best practices for model governance. Relocation and remote options may be considered based on business needs.