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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 3 months ago
Applications closedLumio Systems
Remote
Chicago, United States (UTC-6)
The comparison framework you'll build will run silently behind every model deployment our platform customers ship, catching regressions before real us...
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Posted 3 months ago
Applications closedDaeva Tech
On-site
Chicago, United States (UTC-6)
We already inspect welds and painted surfaces with computer vision on our factory floor; what's missing is a model trained specifically to catch poros...
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Posted 3 months ago
Applications closedOrbio AI
Remote
Chicago, United States (UTC-6)
We serve radiology departments across 40 hospital systems that rely on our annotated datasets to train diagnostic models. What we're missing is a rigo...
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Posted 3 months ago
Applications closedDaeva Tech
On-site
Chicago, United States (UTC-6)
You'll be the fourth vision engineer on a team of fourteen, working alongside process engineers embedded on client factory floors. We already run defe...
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Posted 3 months ago
Applications closedLumio Systems
Remote
Chicago, United States (UTC-6)
Docker, Kubernetes, and MLflow are the core of what we build for clients running dozens of models in production simultaneously. In this role, you'll b...
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Posted 3 months ago
Applications closedOntix Intelligence
On-site
Chicago, United States (UTC-6)
Python, PyTorch, and TensorFlow are the tools behind our X-ray inspection line, but our current porosity detection model misses subtle internal defect...
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Posted 3 months ago
Applications closedRelvix Data
Remote
New York, United States (UTC-5)
Enterprise clients in regulated industries need proof that data past its retention window is actually deleted, not just marked for deletion in a sprea...
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Posted 3 months ago
Applications closedUlara AI
Remote
Los Angeles, United States (UTC-8)
PyTorch, Kubernetes, and GCP are what our voice synthesis infrastructure runs on, serving real-time speech to conversational AI products used across d...
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Posted 3 months ago
Applications closedElvio Works
Remote
Los Angeles, United States (UTC-8)
We're building the generative imaging layer that e-commerce brands use to turn a single product photo into an entire catalog. Our try-on, texture synt...
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Posted 3 months ago
Applications closedCeltrix AI
Remote
Chicago, United States (UTC-6)
You'll be the fourth engineer on a small embedded AI team of eleven, working directly with the firmware and telemetry pipeline leads. Our wearable and...
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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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