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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 6 months ago
Applications closedMeridian Analytics
Remote
Los Angeles, United States (UTC-8)
We spent three years building a no-code workflow automation tool. It didn't work. Not because the technology was wrong, but because we could never fin...
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Posted 6 months ago
Applications closedKora Intelligence
Remote
New York, United States (UTC-5)
We run 20 ML models in production. Some of them are fine. Some of them catch fire in ways that are not always predictable. Our current infrastructure...
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Posted 6 months ago
Applications closedSelva Technologies
Remote
Los Angeles, United States (UTC-8)
Eight months ago, one of our data scientists deployed a model update by running a script on his laptop and copying the output file to a production ser...
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Posted 6 months ago
Applications closedDeepwave Systems
Remote
New York, United States (UTC-5)
We operate a real-time recommendation system serving 800 million requests per day across 40+ models running in parallel on AWS, with specific workload...
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Posted 6 months ago
Applications closedMilvus Group
Remote
Chicago, United States (UTC-6)
We handle back-office operations for a network of 15 e-commerce brands — inventory management, supplier emails, order routing, customer escalation tri...
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Posted 6 months ago
Applications closedEstudio AI
Remote
New York, United States (UTC-5)
We build productivity tools for marketing agencies. Last quarter we shipped our first AI feature — an intelligent brief generator that cuts a 30-minut...
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Posted 6 months ago
Applications closedQuantumEdge
Remote
New York, United States (UTC-5)
I want to be honest with you about what we are and what we're not. We are a 400-person company. We have a mature product, a real revenue base, and a d...
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Posted 6 months ago
Applications closedVectorMind
Remote (EU)
Berlin, Germany (UTC+1)
We are a Series A computer vision startup with models running in production on AWS. Our MLOps setup is functional but scrappy. We need a junior MLOps...
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Posted 6 months ago
Applications closedDataBridge Analytics
Remote
New York, United States (UTC-5)
Our researchers are brilliant. Our infrastructure is not. Training runs die halfway through, experiment results get lost, and deployments happen over...
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Posted 6 months ago
Applications closedKora Intelligence
Remote
Los Angeles, United States (UTC-8)
We run over 200 training jobs a week across a GPU cluster on GKE. Utilisation sits around 40%. Jobs fail silently. Experiment results live in one engi...
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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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