Hiring: ML Ops Infrastructure Engineer Company: Deepgram Location: United States Job Posted Time: 2026-09-10 10:21:13 Target Skills & Keywords : A/B Testing, CI/CD, Cloudflare, Datadog, Docker, Feature Store, Grafana, Infrastructure as Code, Kubernetes, MLOps, ONNX, Prometheus, Pulumi, Python, TensorRT, Terraform, Triton, Twilio About the job Experience: •000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. •4+ years of experience in MLOps, DevOps, or infrastructure engineering with a focus on ML systems Required Skills: •Design and build CI/CD pipelines specifically tailored for ML model development, validation, and deployment •Architect and maintain model deployment pipelines that move models from research environments through staging to production with confidence •Build A/B testing infrastructure that enables controlled rollouts of new models and measures real-world performance impact •Implement comprehensive monitoring for model performance in production -- accuracy metrics, latency, drift detection, and regression alerts •Develop automated retraining pipelines that trigger on data changes, performance degradation, or scheduled cadences •Create and maintain build and test environments that mirror production, giving researchers high-fidelity feedback before deployment •Establish model versioning, artifact management, and rollback capabilities to ensure safe and reproducible deployments •Partner cross-functionally with research engineers to define and enforce model quality gates before production promotion Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!