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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 4 months ago
Applications closedInovex Intelligence
Remote
New York, United States (UTC-5)
Inovex Intelligence builds the ML developer platform that engineering teams use to ship AI features faster. One category of tooling we've been asked f...
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Posted 4 months ago
Applications closedMivex Cloud
Remote
Los Angeles, United States (UTC-8)
Mivex Cloud runs ML inference infrastructure for 60+ enterprise clients across healthcare, finance, and e-commerce. Our cluster scheduling stack is ma...
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Posted 4 months ago
Applications closedRavio Tech
Remote
Chicago, United States (UTC-6)
Ravio Tech's platform automates QA processes for software teams shipping fast. We've built strong test data generation and synthetic data tooling — th...
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Posted 4 months ago
Applications closedLumio Systems
Remote
New York, United States (UTC-5)
Our clients deploy models in production and forget about them — until something goes wrong. Lumio Systems builds the monitoring layer that catches mod...
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Posted 4 months ago
Applications closedQuelva Works
Remote
Los Angeles, United States (UTC-8)
Quelva Works builds workflow automation tools used by enterprise operations teams in insurance, financial services, and healthcare. In these industrie...
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Posted 4 months ago
Applications closedRelvix Data
Remote
Chicago, United States (UTC-6)
Relvix Data's platform helps data teams catch problems in their pipelines before downstream consumers ever notice. We've built strong data lineage and...
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Posted 4 months ago
Applications closedDaeva Tech
Remote
Paris, France (UTC+1)
Have you ever wanted to build AI systems that actually go to production in a factory — not just demos in a controlled lab environment? At Daeva Tech,...
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Posted 4 months ago
Applications closedTelvion Labs
Remote
Los Angeles, United States (UTC-8)
Tabular data synthesis is a solved problem — imperfectly, but the techniques are mature. Time-series synthesis is much harder: temporal structure, aut...
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Posted 4 months ago
Applications closedUlara AI
Remote
Los Angeles, United States (UTC-8)
Speaker verification — confirming that a voice belongs to a specific enrolled speaker — is a widely deployed biometric authentication mechanism. The a...
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Posted 4 months ago
Applications closedUlvex Systems
Remote
Chicago, United States (UTC-6)
On-call engineers are woken up at 2am to respond to alerts. If those alerts are noisy — firing on transient issues, firing on things that resolve them...
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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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