Remote positions
Browse remote Docker positions — containerisation for AI systems, MLOps infrastructure, and DevOps engineering at AI-first companies.
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Posted 9 months ago
Applications closedGulfFinAI
Remote
We operate drone delivery for medical supplies in rural Ghana and Kenya. Our fleet of 15 drones makes 80+ deliveries per day. Currently routes are pla...
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We make vibration, acoustic, and thermal sensors for industrial environments. Inference currently goes to cloud. We want it on the sensor. Need someon...
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Posted 9 months ago
Applications closedSelva Technologies
Remote
We have 80+ Airflow DAGs and they're a mess. Some DAGs take 6 hours when they should take 30 minutes. We have dependencies that are poorly documented,...
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We serve 10M+ ML predictions per day and our on-call rotation is a disaster. Right now when something goes wrong at 2am, the engineer on call has no r...
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Posted 10 months ago
Applications closedSynaptic Labs
Remote (EU timezone preferred)
We need an experienced MLOps engineer for a 6-month engagement to help us migrate our ML model serving from a manual notebook-based workflow to a full...
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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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