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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 3 months ago
Applications closedOntix Intelligence
On-site
Detroit (UTC-5)
We serve automotive paint shops that need gloss and orange-peel defects caught before a vehicle leaves the line. Fast-moving team. Big problem. We nee...
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Posted 3 months ago
Applications closedQuelion Intelligence
Remote
London, United Kingdom (UTC+0)
The models you'll ship will be used by knowledge workers at hundreds of enterprise customers every time they search their internal wikis, tickets, and...
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Posted 3 months ago
Applications closedUelvex Cloud
Remote
Los Angeles, United States (UTC-8)
We just closed our Series A and are scaling fast — customer model traffic has grown 6x in the last two quarters and our single-region deployment setup...
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Posted 3 months ago
Applications closedNavio Tech
Remote
New York, United States (UTC-5)
Our mission is to make AI explainable to non-technical stakeholders, and that starts with our own developer tools being clear about what breaks betwee...
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Posted 3 months ago
Applications closedInovex Intelligence
Remote
Berlin, Germany (UTC+1)
We just closed our Series B and engineering teams using our platform are shipping faster than ever — which means riskier pull requests are slipping th...
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Posted 3 months ago
Applications closedMaltex AI
Remote
New York, United States (UTC-5)
PyTorch, MLflow, and a decade of underwriting data are the core of what we build. Our risk models decide pricing for thousands of commercial policies...
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Posted 3 months ago
Applications closedUelvex Cloud
Remote
London, United Kingdom (UTC+0)
We serve over 400 API partners whose client SDKs are built against our contract, and every API update risks quietly breaking some subset of those SDKs...
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Posted 3 months ago
Applications closedYalvex AI
Remote
Chicago, United States (UTC-6)
PyTorch model registries, Kubernetes deployments, and Airflow-orchestrated rollout pipelines are the core of what our platform manages for customers....
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Posted 3 months ago
Applications closedAevix Cloud
Remote
Los Angeles, United States (UTC-8)
The models you'll help serve process millions of inference requests a day, and right now a meaningful share of our p99 latency comes from cold starts...
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Posted 3 months ago
Applications closedCeltrix AI
Remote
Chicago, United States (UTC-6)
You'll join an edge platform squad of seven, working directly with our firmware and on-device model teams on a growing operational problem: a fleet of...
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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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