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Browse remote CI/CD positions — ML pipeline automation, DevOps for AI systems, and deployment engineering roles at AI-first companies.
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Posted 6 months ago
Applications closedKora Intelligence
Remote
Los Angeles, United States (UTC-8)
We run over 200 training jobs a week across a GPU cluster on GKE. Utilisation sits around 40%. Jobs fail silently. Experiment results live in one engi...
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Posted 6 months ago
Applications closedAlphaion
Remote
Los Angeles, United States (UTC-8)
You know that 3am incident where the model silently started returning null for 8% of requests and nobody noticed for six hours because the dashboard s...
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Posted 6 months ago
Applications closedNebula AI
Remote
Los Angeles, United States (UTC-8)
We serve 180 million product recommendations per day across a retail marketplace. The ML systems behind those recommendations — ranking models, person...
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Posted 6 months ago
Applications closedKvasir AI
Remote
New York, United States (UTC-5)
The numbers: 12 ML models in production, 6 of them retrained weekly, 3 teams with conflicting deployment processes, 0 shared model registry, and 1 MLO...
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Posted 6 months ago
Applications closedMeridian Analytics
Remote
London, United Kingdom (UTC+0)
Six ML models in production. All deployed via cron jobs. No monitoring. Retraining is a manual process involving two engineers and a lot of optimism....
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Posted 6 months ago
Applications closedEstudio AI
Remote
Our ML team is scaling fast and our infra is not keeping up. We've got 12 researchers queuing jobs on a cluster that's half on-prem, half GCP, all hel...
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Posted 6 months ago
Applications closedStrata AI
Remote
Chicago, United States (UTC-6)
Role summary: ML Platform Engineer, mid-level. Company: B2B SaaS, 85 employees, Series A. Team: Platform Engineering (4 engineers + 1 manager). Report...
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Posted 6 months ago
Applications closedUrbanPulse Analytics
Remote
We're standardising our ML platform on Google Cloud's Vertex AI and need an ML engineer with deep Vertex AI and GCP experience to lead the migration f...
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Posted 6 months ago
Applications closedAgroSense AI
Remote (EU timezone)
We have 15+ ML models in production and no proper model registry, versioning, or CI/CD. Models are deployed by hand, documentation is scattered, and r...
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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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Role guide
CI/CD for AI is more complex than standard software — it requires validating not just code, but data, models, and system behaviour. Remote CI/CD jobs at AI companies involve building automated testing and deployment pipelines for ML systems, implementing model regression testing, and ensuring AI products ship reliably. Engineers who bridge DevOps and ML system knowledge are in consistent demand.
What remote CI/CD jobs are available at AI companies?
MLOps and DevOps engineering roles where CI/CD for ML systems is a core responsibility. Most require Docker and cloud platform experience (AWS, GCP, or Azure) alongside CI/CD pipeline knowledge.
What makes CI/CD for ML different from regular software CI/CD?
ML pipelines must validate data quality, model performance metrics, and integration behaviour — not just code correctness. Engineers design test suites that catch data drift, model degradation, and integration failures automatically.
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