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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 6 months ago
Applications closedNebula AI
Remote
Los Angeles, United States (UTC-8)
Context: we serve 1.2 million users. Our AI features handle 300,000 requests per day. Our P95 latency for LLM calls is currently 4.2 seconds. Our targ...
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Posted 6 months ago
Applications closedPonto AI
Remote
New York, United States (UTC-5)
We're moving our ML infrastructure from a setup that was fine when we had three data scientists to one that can support ten and scale to twenty. Right...
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Posted 6 months ago
Applications closedStrata AI
Remote
Chicago, United States (UTC-6)
Role summary: ML Platform Engineer, mid-level. Company: B2B SaaS, 85 employees, Series A. Team: Platform Engineering (4 engineers + 1 manager). Report...
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Posted 6 months ago
Applications closedAzulai
Remote
New York, United States (UTC-5)
The version of this company that exists today is the direct result of one automation working. Two years ago our operations team was spending 22 hours...
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Posted 6 months ago
Applications closedFinGrow AI
Remote
We're training large transformer models (7B–30B parameters) and our training setup is inefficient. Single-machine multi-GPU only. No FSDP, no ZeRO opt...
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Posted 6 months ago
Applications closedKvasir AI
Remote
London, United Kingdom (UTC+0)
We are replacing a legacy point-to-point integration mess with a proper iPaaS layer. We need an engineer with hands-on experience on platforms like Mu...
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Posted 6 months ago
Applications closedClover Systems
Hybrid (Germany)
Berlin, Germany (UTC+1)
We are a traditional manufacturing company modernising our operations. We need an engineer who can bridge old systems and new tools — building automat...
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Posted 6 months ago
Applications closedUrbanPulse Analytics
Remote
We're standardising our ML platform on Google Cloud's Vertex AI and need an ML engineer with deep Vertex AI and GCP experience to lead the migration f...
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Posted 6 months ago
Applications closedHangul AI
Remote
Paris, France (UTC+1)
We have a growing library of internal scripts and automation tools that need to be upgraded into proper, maintainable code. We need a Python engineer...
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Posted 6 months ago
Applications closedNordBot AI
Remote
New York, United States (UTC-5)
We run ML models in production serving millions of predictions per day and need an ML engineer who is as comfortable with systems and infrastructure a...
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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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