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Deepgram
ML Ops Infrastructure Engineer
Remote · USA · Mid level
$160k–$220k / year
About the role
Build and maintain pipelines and infrastructure to deploy ML models from research to production at scale. Ensure reliable, automated, and monitored delivery of voice AI models to customers.
What you’ll do
• Design and build CI/CD pipelines for ML model deployment. • Architect model deployment pipelines from research to production. • Build A/B testing infrastructure for model rollouts. • Implement monitoring for model performance and alerts. • Develop automated retraining pipelines and maintain test environments.
What you’ll bring
• 4+ years in MLOps, DevOps, or ML infrastructure engineering. • Proficient in Python and ML workflow automation. • Experience with CI/CD systems and pipeline building. • Hands-on with Docker and Kubernetes. • Familiar with model evaluation and monitoring principles.
Life at Deepgram
AI-first mindset with rapid change and innovation. Encourages experimentation and continuous learning.
About Deepgram
Deepgram provides real-time APIs for speech-to-text and voice AI, powering over 1,300 organizations with advanced voice-native foundation models.