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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 5 months ago
Applications closedFovix Labs
Hybrid
Los Angeles, United States (UTC-8)
One robot picking items in a warehouse is a control problem. Forty robots picking items simultaneously without colliding, blocking each other's paths,...
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Posted 5 months ago
Applications closedGaltion Intelligence
Remote
New York, United States (UTC-5)
Voice biometrics verify identity by matching a speaker's voice against an enrolled voiceprint. The problem: a recording of someone's voice can fool a...
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Posted 5 months ago
Applications closedGlyph Systems
Remote
Chicago, United States (UTC-6)
City budgets are public documents that nobody reads because they're 400-page PDFs filled with account codes, fund transfers, and allocation tables tha...
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Posted 5 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
Adverse drug reactions kill 100,000 people per year in the US alone. Detecting safety signals early in clinical trials — before a drug reaches market...
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Posted 5 months ago
Applications closedBolvex Solutions
Remote
Los Angeles, United States (UTC-8)
Smartwatches collect heart rate, SpO2, activity, and sleep data continuously — but most of that data sits unused until someone has a health scare and...
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Posted 5 months ago
Applications closedKolvex Cloud
Remote
New York, United States (UTC-5)
Most companies running AI in production have no idea what it actually costs. GPU instances spin up and never get terminated. Models serve traffic at 5...
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Posted 5 months ago
Applications closedAevix Cloud
Remote
New York, United States (UTC-5)
Our clients' models work. They're just too expensive to run. A single inference call costs $0.12 when it should cost $0.003. Latency is 800ms when the...
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Posted 5 months ago
Applications closedXivio Solutions
Remote
New York, United States (UTC-5)
Thirteen models in production. Four different deployment patterns. Zero standardization. That's where we are today, and that's exactly the problem you...
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Posted 5 months ago
Applications closedGravex Cloud
Remote
New York, United States (UTC-5)
We build the APIs that connect AI models to business applications. Not the models themselves — the plumbing around them. Authentication, rate limiting...
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Posted 5 months ago
Applications closedDravix Studio
Remote
Los Angeles, United States (UTC-8)
We're building AI tools for podcast producers — automatic transcription, speaker diarization, content summarization, and smart clip extraction. Our pl...
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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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