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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 closedDelvio Solutions
Remote
Chicago, United States (UTC-6)
Regulatory compliance isn't a one-time checkbox — it's continuous monitoring. When regulations change, companies need to know immediately which of the...
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Posted 5 months ago
Applications closedEmrex AI
Remote
London, United Kingdom (UTC+0)
Our clients send 5 million LLM API calls per day, and 40% of them share identical system prompts. Without caching, every call reprocesses the same 2,0...
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Posted 5 months ago
Applications closedInovex Intelligence
Remote
Los Angeles, United States (UTC-8)
Our ML platform has a powerful API — and nobody uses it correctly. Engineers copy code from Slack threads, hardcode credentials, skip error handling,...
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Posted 5 months ago
Applications closedMivex Cloud
Remote
New York, United States (UTC-5)
GPU spot instances cost 70% less than on-demand — but they can be reclaimed with 2 minutes notice. For ML training jobs that run for hours, a sudden i...
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Posted 5 months ago
Applications closedOrbio AI
Hybrid
New York, United States (UTC-5)
Radiologists read 50-100 cases per day, and fatigue-related errors increase throughout their shift. Our screening system pre-reads imaging studies and...
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Posted 5 months ago
Applications closedYalvex AI
Remote
Los Angeles, United States (UTC-8)
Model updates should be seamless — users shouldn't notice the transition from v2.3 to v2.4. Blue-green deployments make this possible by running both...
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Posted 5 months ago
Applications closedCandor Systems
Remote
New York, United States (UTC-5)
When an AI system makes a decision that affects someone's insurance premium, loan application, or medical treatment, regulators want to know exactly h...
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Posted 5 months ago
Applications closedGradrix Works
Remote
New York, United States (UTC-5)
Every international transaction must be screened against sanctions lists — OFAC, EU, UN, and 40 other regulatory bodies. Traditional screening uses fu...
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Posted 5 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
Hospitals want to train models on patient data without sharing it across institutions. Federated learning makes this possible — each hospital trains l...
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Posted 5 months ago
Applications closedNavio Tech
Remote
Chicago, United States (UTC-6)
API documentation is either auto-generated and useless or hand-written and outdated. Our platform finds the middle ground — using AI to generate API r...
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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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