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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 closedAevix Cloud
Remote
New York, United States (UTC-5)
Static autoscaling rules waste GPU capacity. Scale up too aggressively and you pay for idle GPUs during traffic dips. Scale up too slowly and requests...
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Posted 5 months ago
Applications closedAltrix Systems
Remote
London, United Kingdom (UTC+0)
Our knowledge graph contains 14 million entities and 89 million edges. Complex queries that traverse 4+ hops — like "find all companies linked to this...
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Posted 5 months ago
Applications closedArca Works
Remote
New York, United States (UTC-5)
The EU AI Act requires Algorithmic Impact Assessments for high-risk AI systems. Canada's AIDA has similar requirements. These assessments evaluate an...
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Posted 5 months ago
Applications closedTuvex Solutions
Remote
Chicago, United States (UTC-6)
Support teams answer the same questions hundreds of times. Our FAQ generator analyzes support ticket history, identifies recurring question patterns,...
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Posted 5 months ago
Applications closedUelvex Cloud
Remote
Los Angeles, United States (UTC-8)
When an API client suddenly sends 10x more requests than usual, is it a successful product launch or a runaway script that's about to blow through the...
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Posted 5 months ago
Applications closedUlara AI
Remote
New York, United States (UTC-5)
A text-to-speech system that sounds American English doesn't serve a user in Mumbai who expects Indian English prosody, or a user in Lagos who expects...
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Posted 5 months ago
Applications closedUlvex Systems
Remote
London, United Kingdom (UTC+0)
Application logs are a goldmine of debugging information — if you can find the signal in 50 million lines per day. Engineers grep for error messages t...
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Posted 5 months ago
Applications closedUnvix Works
Remote
Chicago, United States (UTC-6)
Data contracts define what upstream producers promise and downstream consumers expect: column names, data types, freshness SLAs, value ranges, and nul...
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Posted 5 months ago
Applications closedVelmox Data
Remote
New York, United States (UTC-5)
Model accuracy degrades silently when the data distribution shifts — a phenomenon called data drift. A fraud model trained on pre-pandemic transaction...
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Posted 5 months ago
Applications closedVelvix Labs
Remote
Los Angeles, United States (UTC-8)
Constitutional AI promises models that follow rules without needing thousands of hand-labeled examples for every policy. Define the principle — "don't...
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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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