Ml Ops Infrastructure Engineer
Deepgram- Location
- Remote
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Deepgram. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
As an ML Ops Infrastructure Engineer at Deepgram, you will build the critical pipelines, deployment systems, and testing infrastructure required to move AI models from research notebooks to production APIs serving millions of requests. This role involves owning the bridge between AI research and production deployment.
Skills and focus areas
- ml ops
- infrastructure engineering
- ai
- machine learning
- deployment systems
- testing infrastructure
- pipelines
- ai-first mindset
- experimentation
- adaptability
- continuous learning
Summary written by Ramai from the original posting. Full details and requirements are on Deepgram’s careers page.
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