Mlops & Agentic Platform Engineer (ai Infrastructure)

Hyphen Partners

Seattle, United States
On-site
Kubernetes and docker deployment
Model registry management
Continuous training loops
This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure

Job Summary

  • This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure.
  • The ideal candidate will deploy agents as scalable microservices on Kubernetes and build observability dashboards to track performance metrics.
  • Candidates must possess a strong DevOps/MLOps background with experience in tools like MLflow, Weights & Biases, or LangSmith.

Matching Summary

This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure.

Skills & Requirements

Must-have

  • Kubernetes and Docker deployment
  • Model registry management
  • Continuous training loops
  • A/B testing infrastructure
  • Scalable microservices architecture

Nice-to-have

  • Observability dashboard development
  • Token usage tracking
  • Agent reasoning path analysis

Key Requirements

  • Strong DevOps/MLOps background
  • Experience with MLflow or Weights & Biases
  • Knowledge of scalable microservice architectures

Work Rights

Not specified

Tailored Resume

Cover Letter