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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 closedCeltrix AI
Remote
Los Angeles, United States (UTC-8)
Our wearable devices generate inference logs, power consumption metrics, and model accuracy signals continuously — but right now that data sits on dev...
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Posted 4 months ago
Applications closedCovex Cloud
Remote
New York, United States (UTC-5)
Failover for a stateless web service is a solved problem. Failover for an ML serving cluster is not. When a model serving region goes down, you need t...
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Posted 4 months ago
Applications closedDaeva Tech
Remote
Chicago, United States (UTC-6)
Assembly verification catches errors that defect inspection misses. A PCB can pass all dimensional and solder joint checks but fail in the field becau...
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Posted 4 months ago
Applications closedDelvio Solutions
Remote
Chicago, United States (UTC-6)
Compliance officers at financial services firms read 15-30 regulatory reports per week. Each one is 40-80 pages of dense regulatory language, most of...
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Posted 4 months ago
Applications closedDravix Studio
Remote
Los Angeles, United States (UTC-8)
Songwriter workflows are broken. The gap between 'I have these lyrics' and 'I have a melody that fits them' requires either expensive studio time with...
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Posted 4 months ago
Applications closedElara Intelligence
Remote
London, United Kingdom (UTC+0)
Model cards are to AI what package inserts are to drugs — mandatory documentation that most practitioners skip because creating them manually takes ho...
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Posted 4 months ago
Applications closedElvio Works
Remote
New York, United States (UTC-5)
Object removal sounds like a simple task until the object you're removing is a lamppost in front of a Victorian building and the background needs to r...
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Posted 4 months ago
Applications closedEmrex AI
Remote
Los Angeles, United States (UTC-8)
LLM inference latency is the core product metric for every API we serve. When a legal research tool waits 8 seconds for a response, lawyers switch tab...
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Posted 4 months ago
Applications closedFovix Labs
Hybrid
Los Angeles, United States (UTC-8)
Vision tells a robot what to pick up. Touch tells it whether the grasp is working. Our manipulation platforms have achieved high grasp success rates o...
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Posted 4 months ago
Applications closedGlyph Systems
Remote
Chicago, United States (UTC-6)
Government data is fragmented by design. A city's permits are in one system, its code violations in another, its property records in a third — all usi...
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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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