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

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

Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.

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.

View source and apply Apply directly

Source checked: 2026-10-22

Browse job categories

Python Kubernetes