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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 closedGaltion Intelligence
Remote
New York, United States (UTC-5)
Our voice synthesis platform can clone a speaker's voice from 30 seconds of audio. That capability is incredibly useful for accessibility, content cre...
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Posted 5 months ago
Applications closedGravex Cloud
Remote
Berlin, Germany (UTC+1)
Feature engineering is where data scientists spend 60% of their time, and most of that time is wasted rebuilding features someone else already created...
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Posted 5 months ago
Applications closedHelvex Studio
Remote
Los Angeles, United States (UTC-8)
Keyframe animation takes a skilled artist 2 weeks to produce 10 seconds of realistic character motion. Our procedural animation system generates physi...
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Posted 5 months ago
Applications closedHoltix Solutions
Remote
Chicago, United States (UTC-6)
Our document processing platform handles 2 million receipts per month for expense management companies. The OCR layer works well for standard printed...
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Posted 5 months ago
Applications closedAevix Cloud
Remote
Chicago, United States (UTC-6)
Our GPU clusters handle 2.3 billion inference requests per month, and that number doubles every quarter. The bottleneck isn't compute — it's orchestra...
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Posted 5 months ago
Applications closedCeltrix AI
Hybrid
Los Angeles, United States (UTC-8)
PyTorch models that run perfectly on A100 GPUs are useless on an ARM Cortex-M7 with 512KB of RAM. If you understand why — and more importantly, how to...
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Posted 5 months ago
Applications closedFovix Labs
Hybrid
Los Angeles, United States (UTC-8)
We're building autonomous decision systems for industrial robotics. Not warehouse pick-and-place — complex assembly tasks where a robot needs to figur...
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Posted 5 months ago
Applications closedTuvex Solutions
Remote
New York, United States (UTC-5)
We're a 45-person company and our data infrastructure has outgrown the scripts-and-cron-jobs phase. Our ML team needs reliable, tested, documented dat...
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Posted 5 months ago
Applications closedUlara AI
Remote
London, United Kingdom (UTC+0)
Eighty thousand customer support tickets a month. That's what our clients' teams handle, and our AI assistant already resolves 40% of them automatical...
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Posted 5 months ago
Applications closedVelvix Labs
Remote
Los Angeles, United States (UTC-8)
Understanding why a model made a specific prediction isn't just an academic curiosity — it's a regulatory requirement in healthcare, a legal necessity...
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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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