ML Ops Infrastructure Engineer

About this role

Deepgram seeks an ML Ops Infrastructure Engineer to build the production systems that bring speech AI models from research to serving millions of API requests. You'll design CI/CD pipelines, deployment infrastructure, monitoring, and testing systems that enable rapid, safe iteration on voice AI models at scale.

What you'll do

• Design and build ML-specific CI/CD pipelines for model validation and deployment across environments
• Architect model deployment systems with A/B testing, versioning, and rollback capabilities
• Implement production monitoring for model performance, drift detection, and regression alerts
• Develop automated retraining pipelines triggered by data changes or performance degradation
• Create build and test environments that mirror production for high-fidelity researcher feedback
• Optimize model serving infrastructure for latency, throughput, and cost efficiency

What they're looking for

• MLOps and ML infrastructure engineering
• Python
• CI/CD systems and pipeline development
• Docker and Kubernetes
• ML model deployment and serving
• Monitoring and observability tools
• Data infrastructure and automation
• Performance optimization