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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 closedMivex Cloud
Remote
New York, United States (UTC-5)
We run a private GPU cluster — 200 A100s across two data centers on the East Coast. Our clients rent compute for model training, and our infrastructur...
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Posted 5 months ago
Applications closedScirvex Intelligence
Remote
New York, United States (UTC-5)
Our product indexes and searches 50 million academic papers for research institutions worldwide. We've built a solid keyword search engine, but our cl...
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Posted 5 months ago
Applications closedNelvix Labs
Remote
Los Angeles, United States (UTC-8)
Meeting transcription is solved — except when four people are talking. Speaker diarization (who spoke when) remains one of the hardest problems in spe...
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Posted 5 months ago
Applications closedOrvion Systems
Remote
Chicago, United States (UTC-6)
Delivery fleet routing is a traveling salesman problem with 50 trucks, 800 daily stops, time windows, vehicle capacity limits, driver hour regulations...
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Posted 5 months ago
Applications closedTalmion Data
Hybrid
New York, United States (UTC-5)
Content recommendation drives 60% of engagement on our client platforms. When the algorithm works well, users discover content they love. When it does...
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Posted 5 months ago
Applications closedUelvex Cloud
Remote
Los Angeles, United States (UTC-8)
AI API platforms get abused in creative ways — one client sends 10,000 requests in a burst, another distributes the same volume across 100 API keys, a...
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Posted 5 months ago
Applications closedLumio Systems
Remote
Berlin, Germany (UTC+1)
Deploying a new model version to 100% of traffic is gambling. Canary deployments route 5% of traffic to the new version first, compare its behavior ag...
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Posted 5 months ago
Applications closedSynta Cloud
Hybrid
New York, United States (UTC-5)
A digital twin is a living simulation of a physical system — updated with real-time sensor data, calibrated against actual performance, and used to pr...
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Posted 5 months ago
Applications closedAevix Cloud
Remote
Los Angeles, United States (UTC-8)
Managing 400 GPUs across three cloud regions sounds straightforward until a training job in us-east consumes 64 A100s for 72 hours, a client in eu-wes...
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Posted 5 months ago
Applications closedCeltrix AI
Remote
Chicago, United States (UTC-6)
Running a seizure detection model on a watch with 256KB of RAM and a 100MHz processor sounds impossible. We do it — and the model needs to run continu...
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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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