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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 closedAevix Cloud
Remote
Los Angeles, United States (UTC-8)
GPU memory fragmentation is the silent killer of training throughput. A cluster that should deliver 94% MFU sits at 71% because memory allocations fro...
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Posted 4 months ago
Applications closedBolvex Solutions
Remote
Chicago, United States (UTC-6)
Clinical notes are where 80% of medically relevant information lives — and 0% of it is machine-readable without significant NLP work. A cardiologist's...
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Posted 4 months ago
Applications closedWolvex Cloud
Remote
London, United Kingdom (UTC+0)
GDPR consent management sounds like a checkbox problem until you're running a data platform serving 14 EU markets with 6 different lawful bases for pr...
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Posted 4 months ago
Applications closedXivio Solutions
Remote
Los Angeles, United States (UTC-8)
We manage ML infrastructure for 28 AI companies that don't want to hire dedicated platform teams. Our platform monitors their training clusters, flags...
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Posted 4 months ago
Applications closedYalvex AI
Remote
Chicago, United States (UTC-6)
Deploying AI models is not like deploying software. A model that passes all unit tests can still regress on edge-case inputs, behave differently acros...
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Posted 4 months ago
Applications closedTelvion Labs
Remote
Berlin, Germany (UTC+1)
Stack Overflow asked 90,000 developers which data format they spend the most time wrangling. Tables won by a wide margin. Clinical trial results burie...
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Posted 4 months ago
Applications closedTuvex Solutions
Remote
Los Angeles, United States (UTC-8)
Our clients' support teams are buried. The median company on our platform receives 3,400 support tickets per month, of which 38% are questions already...
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Posted 4 months ago
Applications closedUelvex Cloud
Remote
Chicago, United States (UTC-6)
We process 400 million API calls per day across our platform, and when something goes wrong — a latency spike, an unexpected error rate, a model retur...
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Posted 4 months ago
Applications closedUlara AI
Hybrid
Los Angeles, United States (UTC-8)
Every voice assistant starts with a wake word. 'Hey Aria', 'OK Nova', 'Wake up' — the decision to activate or stay silent runs on a model deployed dir...
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Posted 4 months ago
Applications closedUlvex Systems
Remote
London, United Kingdom (UTC+0)
During a P1 incident, every minute of mean time to resolution costs real money. Our platform monitors 220 enterprise customers' production environment...
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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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