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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 closedJoltura Labs
Remote
New York, United States (UTC-5)
ML engineers know their model is slow but can't tell you why. Is it the attention layers? The tokenizer? The data loading? The GPU memory thrashing? O...
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Posted 5 months ago
Applications closedJorvex Studio
Remote
New York, United States (UTC-5)
A brand needs 150 ad creative variations per campaign: different headlines, body copy, CTAs, and visual descriptions for each platform (Instagram squa...
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Posted 5 months ago
Applications closedKlavio Works
Remote
Berlin, Germany (UTC+1)
Language learning apps need thousands of exercises — fill-in-the-blank, sentence reordering, translation prompts, listening comprehension — and each o...
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Posted 5 months ago
Applications closedKolvex Cloud
Remote
New York, United States (UTC-5)
Reserved instances save 40-60% versus on-demand pricing, but buying the wrong reservations locks you into commitments that waste more money than they...
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Posted 5 months ago
Applications closedKrato AI
Remote
New York, United States (UTC-5)
Product-led growth means the product sells itself — but only if you run the right experiments. Which onboarding flow converts more trial users? Does s...
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Posted 5 months ago
Applications closedLamion Solutions
Remote
New York, United States (UTC-5)
Healthcare organizations need to share patient data for research, but HIPAA requires removing 18 categories of protected health information first. Man...
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Posted 5 months ago
Applications closedLontex Tech
Remote
New York, United States (UTC-5)
Not every question needs GPT-4. A simple classification task runs fine on a smaller model at 1/20th the cost. A code generation request needs a code-s...
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Posted 5 months ago
Applications closedLumio Systems
Remote
Los Angeles, United States (UTC-8)
GPU out-of-memory errors are the most frustrating part of ML development. The error message says "CUDA out of memory" but doesn't tell you where your...
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Posted 5 months ago
Applications closedLyrex Data
Remote
London, United Kingdom (UTC+0)
A data catalog is only as good as its metadata. If table descriptions are vague, column names are cryptic, and ownership is unassigned, the catalog be...
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Posted 5 months ago
Applications closedMendra Intelligence
Remote
London, United Kingdom (UTC+0)
Every wire transfer, trade finance deal, and customer onboarding triggers a sanctions screening check: is this person or entity on a prohibited list?...
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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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