ML Ops Architect: Scale ML Infra & CI/CD (Hybrid SF)

Rise Technical Recruitment Limited; San Francisco (CA); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Equity

Healthcare

401(k)

PTO

Job summary

Rise Technical Recruitment Limited is seeking an experienced ML Ops Engineer for a hybrid role in San Francisco, CA. You will own end-to-end machine learning infrastructure, build multi-GPU training-as-a-service, and deploy automated CI/CD for models, while optimizing GPU utilization and cost governance.

You will collaborate with research and engineering teams to scale training pipelines, experiment tracking, and data versioning, enabling scientists to launch and iterate rapidly in a fast-paced

Qualifications

• Experience with Ray, Kubeflow or Airflow with Kubernetes.
• Strong Python or Go development skills.
• Production-scale experiment tracking experience.
• Background in GPU monitoring and cost optimization.
• US Citizen or Green Card Holder.

Responsibilities

• Build multi-GPU training-as-a-service infrastructure.
• Deploy automated model CI/CD and evaluation gates.
• Manage experiment tracking and data versioning.
• Optimize GPU utilization and cost governance.

Skills

Python

Go

Experiment tracking

GPU monitoring

Cost optimization

Tools

Ray

Kubeflow

Airflow

Kubernetes

Job description

Rise Technical Recruitment Limited is seeking an experienced ML Ops Engineer for a hybrid role in San Francisco, CA. You will own end-to-end machine learning infrastructure, build multi-GPU training-as-a-service, and deploy automated CI/CD for models, while optimizing GPU utilization and cost governance.

You will collaborate with research and engineering teams to scale training pipelines, experiment tracking, and data versioning, enabling scientists to launch and iterate rapidly in a fast-paced