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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 closedVelvix Labs
Remote
New York, United States (UTC-5)
RL agents find unintended solutions. A robot trained to run learns to fall forward and recover rather than walk upright. A language model trained for...
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Posted 5 months ago
Applications closedVordex Tech
Remote
New York, United States (UTC-5)
460 million people worldwide have disabling hearing loss, and the tools that serve them in digital interfaces are embarrassingly underdeveloped. Autom...
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Posted 5 months ago
Applications closedWavion Intelligence
Remote
Berlin, Germany (UTC+1)
A knowledge graph built from English Wikipedia doesn't know that the French Wikipedia article on the same concept uses a different taxonomy, assigns d...
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Posted 5 months ago
Applications closedWevio Systems
Remote
Chicago, United States (UTC-6)
Business dashboards are reactive by design — you open them when you think something is wrong. Predictive alerting flips that: the system tells you som...
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Posted 5 months ago
Applications closedWolvex Cloud
Remote
Berlin, Germany (UTC+1)
GDPR compliance is mostly an engineering problem dressed as a legal one. The right to erasure, data portability, consent management, and purpose limit...
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Posted 5 months ago
Applications closedXalto Tech
Remote
New York, United States (UTC-5)
Enterprise sales is driven by signals — a prospect company just raised a Series B, a competitor's customer published a negative review, a key champion...
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Posted 5 months ago
Applications closedYalvex AI
Remote
Chicago, United States (UTC-6)
You can't know how a new model will behave in production until it's in production — unless you have a shadow testing framework. Shadow mode runs candi...
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Posted 5 months ago
Applications closedYentrix Works
Remote
Los Angeles, United States (UTC-8)
Nobody writes good documentation. Not because engineers don't know how — they do — but because documentation is always the lowest priority and the fir...
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Posted 5 months ago
Applications closedYovex Intelligence
Remote
New York, United States (UTC-5)
LLMs break in ways that are impossible to predict without adversarial testing. A model that performs flawlessly on benchmark evaluations can be jailbr...
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Posted 5 months ago
Applications closedZenora Labs
Remote
New York, United States (UTC-5)
Benchmarks lie. A model that scores 90% on MMLU might fail at tasks that MMLU wasn't designed to measure, and the gap between benchmark performance an...
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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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