MLOps Infrastructure Engineer at Deepgram

Confirmed open

Deepgram seeks a US-remote engineer to build model CI/CD, controlled rollouts, monitoring and reliable deployment infrastructure for its voice AI services.

Deepgram

Search jobs by company: Deepgram

Location: Remote
Advertised region: USA - Remote / United States
Employment: FullTime
Work arrangement: remote
Technologies: Python, Kubernetes, Docker

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Role overview

This role connects Deepgram’s model research with production voice AI APIs. The listed location is remote within the United States.

Responsibilities

Build model validation and deployment pipelines, A/B rollout infrastructure, versioning and rollback.
Monitor accuracy, latency and drift, automate retraining, and improve model-serving speed, throughput and cost.

Qualifications

At least four years in MLOps, DevOps or ML infrastructure, with Python, CI/CD, Docker, Kubernetes and production model serving.
Experience with model evaluation and observability is needed; Triton, TensorRT, ONNX Runtime, Terraform and GPU inference are useful.

Technology in this role

Python: At least four years in MLOps, DevOps or ML infrastructure, with Python, CI/CD, Docker, Kubernetes and production model serving.

How to apply

Review the original posting and apply through the employer’s careers page.

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Source checked: 2026-11-08

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