ML Ops Infrastructure Engineer

About the role

Deepgram ML Ops Infrastructure Engineer: own the bridge between research and production, building pipelines, deployment systems and testing infrastructure for voice AI models. USA remote.

Requirements

• 4+ years MLOps, DevOps or infrastructure engineering for ML systems
• Strong Python and automation for ML workflows
• Deep CI/CD experience
• Docker and Kubernetes
• Deploying and serving ML models in production
• Model evaluation and validation
• Monitoring and observability for ML

What you'll do

• Build CI/CD pipelines for ML models
• Model deployment pipelines
• A/B testing infrastructure
• Production model monitoring and drift detection
• Automated retraining pipelines
• Model versioning and rollback
• Optimize model serving

Where this was posted

• ashby

  last seen 2h ago
  View on ashby