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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 closedWolvex Cloud
Remote
Amsterdam, Netherlands (UTC+1)
Data retention policies specify how long different categories of data should be kept before deletion or archival. Under GDPR, CCPA, HIPAA, and various...
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Posted 4 months ago
Applications closedXivio Solutions
Remote
Los Angeles, United States (UTC-8)
Autoscaling policies for GPU inference clusters are typically reactive: scale up when utilization exceeds a threshold, scale down when it drops below...
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Posted 4 months ago
Applications closedYalvex AI
Remote
Chicago, United States (UTC-6)
After a model deployment completes, something important happens: the deployment either stabilizes successfully or it starts showing signs of trouble....
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Posted 4 months ago
Applications closedYentrix Works
Remote
New York, United States (UTC-5)
A repository README is the front door of a codebase. Developers evaluating whether to adopt a library, contribute to a project, or integrate a depende...
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Posted 4 months ago
Applications closedAevix Cloud
Remote
Los Angeles, United States (UTC-8)
GPU inference throughput is a function of batch size: a GPU executing a batch of 32 inference requests is far more efficient than the same GPU process...
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Posted 4 months ago
Applications closedAltrix Systems
Remote
New York, United States (UTC-5)
Knowledge graphs encode what is true. Temporal knowledge graphs encode what was true and when — capturing that an entity's properties change over time...
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Posted 4 months ago
Applications closedMivex Cloud
Remote
Los Angeles, United States (UTC-8)
Have you ever debugged a distributed training job that failed at step 47,832 of 50,000 and lost 40 hours of gradient accumulation? We build the infras...
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Posted 4 months ago
Applications closedEmrex AI
Remote
New York, United States (UTC-5)
Pydantic, LangChain structured output, and JSON Schema are the tools we live in. If you've spent time making LLMs reliably produce machine-parseable o...
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Posted 4 months ago
Applications closedSynta Cloud
On-site
Chicago, United States (UTC-6)
Vibration-induced failures cost our manufacturing clients an average of $280k per unplanned shutdown. Our existing predictive maintenance models catch...
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Posted 4 months ago
Applications closedRelvix Data
Remote
Los Angeles, United States (UTC-8)
We're building the search layer for modern data catalogs — not keyword lookup, but semantic retrieval that understands what a data asset actually cont...
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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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