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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 closedMevra Labs
Remote
New York, United States (UTC-5)
Multi-turn conversations are where every chatbot falls apart. The user says "Book me a flight to Paris next Tuesday," then "Actually, make it Wednesda...
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Posted 5 months ago
Applications closedHelvex Studio
Remote
Los Angeles, United States (UTC-8)
Motion capture data recorded on a 6-foot actor needs to look natural when applied to a 4-foot cartoon character with different proportions, joint limi...
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Posted 5 months ago
Applications closedHoltix Solutions
Remote
Chicago, United States (UTC-6)
Tables in scanned documents are the bane of every document processing pipeline. A perfectly formatted PDF table becomes a jumbled mess after OCR — mer...
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Posted 5 months ago
Applications closedIlvix Works
Remote
New York, United States (UTC-5)
Every payment transaction has multiple possible paths — different acquiring banks, payment networks, and processing endpoints — and each path has diff...
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Posted 5 months ago
Applications closedQuelion Cloud
Remote
Los Angeles, United States (UTC-8)
Keyword search is dead for our use case. Our users are patent attorneys searching through 100 million patent documents for prior art — and they need s...
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Posted 5 months ago
Applications closedRolvex Solutions
Remote
London, United Kingdom (UTC+0)
Our ML platform runs 20 models for internal teams, and the person who built it is now our VP of Engineering. She needs someone to maintain what she bu...
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Posted 5 months ago
Applications closedTelvion Labs
Hybrid
New York, United States (UTC-5)
Our healthcare clients want to train ML models but can't share patient data. HIPAA makes real medical datasets a compliance nightmare. The solution: s...
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Posted 5 months ago
Applications closedEmrex AI
Remote
New York, United States (UTC-5)
Our LLM serving infrastructure processes 180 million inference requests per day. At current pricing, that's $2.4M per month in compute costs — and our...
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Posted 5 months ago
Applications closedEvorra Systems
Remote
Chicago, United States (UTC-6)
When a production incident hits, engineers follow runbooks — step-by-step procedures for diagnosing and resolving specific failure modes. The problem...
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Posted 5 months ago
Applications closedFelvix Tech
Remote
London, United Kingdom (UTC+0)
When a new AI regulation drops — like the EU AI Act — companies need to figure out which of their AI systems are affected, what obligations apply, 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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