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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 closedQuelva Works
Remote
Chicago, United States (UTC-6)
Enterprise operations generate millions of event logs — every click, approval, handoff, and delay captured in system audit trails. Process mining turn...
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Posted 5 months ago
Applications closedUlara AI
Remote
Los Angeles, United States (UTC-8)
Our text-to-speech platform creates custom voice models from as little as 30 minutes of recorded audio. Media companies use our voices for audiobook n...
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Posted 5 months ago
Applications closedYovex Intelligence
Remote
New York, United States (UTC-5)
Every LLM-powered application is a prompt injection vulnerability waiting to happen. Our security platform protects enterprise AI deployments from adv...
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Posted 5 months ago
Applications closedCovex Cloud
Remote
Chicago, United States (UTC-6)
Most ML teams over-provision inference infrastructure because they can't predict demand. GPUs sit idle at 15% utilization during off-peak hours while...
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Posted 5 months ago
Applications closedYalvex AI
Remote
Los Angeles, United States (UTC-8)
We deploy ML models for 12 clients, and each deployment is its own snowflake — different frameworks, different serving requirements, different scaling...
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Posted 5 months ago
Applications closedEmrex AI
Remote
London, United Kingdom (UTC+0)
We serve 100 enterprise clients, and each one needs a model that understands their specific domain, terminology, and content policies. Off-the-shelf m...
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Posted 5 months ago
Applications closedGlyph Systems
Remote
New York, United States (UTC-5)
Municipal governments are drowning in constituent requests — permit applications, zoning questions, code violation reports, public records requests. O...
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Posted 5 months ago
Applications closedInovex Intelligence
Remote
Los Angeles, United States (UTC-8)
Our ML platform serves 8 internal teams — and none of them are happy with the deployment experience. Model registration takes 14 steps. Deployment con...
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Posted 5 months ago
Applications closedMivex Cloud
Remote
New York, United States (UTC-5)
We operate 200 A100 GPUs across two data centers, and utilization is our business model. Every idle GPU-hour is lost revenue. Every training job that...
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Posted 5 months ago
Applications closedBreva AI
Remote
London, United Kingdom (UTC+0)
We've already built the document classification layer — now we need someone to make it smart. Our legal tech platform processes 4 million documents a...
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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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