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Browse remote Docker positions — containerisation for AI systems, MLOps infrastructure, and DevOps engineering at AI-first companies.
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Posted 5 months ago
Applications closedZenora Labs
Remote
Chicago, United States (UTC-6)
Software has unit tests. ML models have... hopes and prayers? Not on our watch. Our model testing platform provides automated regression testing for M...
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Posted 5 months ago
Applications closedAevix Cloud
Remote
New York, United States (UTC-5)
Spot instances save 70-90% on GPU costs, but they get terminated with 2 minutes notice. For batch training jobs that run for hours, a termination at 9...
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Posted 5 months ago
Applications closedArca Works
Remote
London, United Kingdom (UTC+0)
A model that's fair at deployment can become unfair within months as the population it serves shifts. Our monitoring platform continuously evaluates d...
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Posted 5 months ago
Applications closedSoltix AI
Remote
Berlin, Germany (UTC+1)
Translating a document is easy. Translating a live customer support conversation in under 200ms while preserving tone, technical terms, and brand voic...
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Posted 5 months ago
Applications closedTelvion Labs
Remote
Los Angeles, United States (UTC-8)
Differential privacy promises mathematical guarantees that synthetic data can't leak individual records. In practice, the privacy-utility trade-off is...
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Posted 5 months ago
Applications closedTolvex Studio
Remote
New York, United States (UTC-5)
Before a brand spends $500K running an ad campaign, they'd like to know if the creative is any good. Our platform scores visual assets — display ads,...
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Posted 5 months ago
Applications closedTuvex Solutions
Remote
Chicago, United States (UTC-6)
Knowledge bases rot. The moment you finish building one, the information starts going stale: products get discontinued, team members change roles, pol...
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Posted 5 months ago
Applications closedUelvex Cloud
Remote
Los Angeles, United States (UTC-8)
Every AI model our clients deploy goes through our API gateway — 890 million requests per month across 200+ models. The gateway handles authentication...
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Posted 5 months ago
Applications closedUlara AI
Remote
New York, United States (UTC-5)
Words carry meaning. Tone carries intent. When a customer says "that's fine" in a flat voice, it means the opposite of "that's fine" said with enthusi...
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Posted 5 months ago
Applications closedUlvex Systems
Remote
London, United Kingdom (UTC+0)
Static alert thresholds are the bane of every on-call engineer's existence. Set them too tight and you get paged at 3 AM for normal traffic fluctuatio...
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Role guide
Docker is the foundation of modern AI deployment infrastructure. Remote Docker jobs at AI companies involve containerising ML models, building reproducible training environments, and managing deployment pipelines. Engineers with Docker experience who also understand ML workflows are particularly in demand.
What Docker skills do AI companies typically require?
Multi-stage builds, GPU container configuration, Docker Compose for local development, and integration with CI/CD pipelines. MLOps-focused roles often require Kubernetes knowledge on top of Docker.
Can I get a remote Docker job without Kubernetes experience?
Yes — especially at smaller companies or for roles focused on development environments rather than production orchestration. As companies scale, Kubernetes becomes increasingly expected.
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