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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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We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and...
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We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and...
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Posted 6 days ago
Wayve
Sunnyvale, California USA
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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Posted 6 days ago
Motional
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Remote U.S.
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai...
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.txt builds structured generation: we make language models produce output that follows a given format, by deciding at every decoding step which tokens...
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OpenRouter is the leading AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models acro...
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Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and...
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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve...
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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve...
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At Replicant, we believe AI should work for people, starting with customer service. We’re looking for a Software Development Engineer in Test (SDET) t...
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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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