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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 2 months ago
Databricks
Alabama; Chicago, Illinois; Columbus, Ohio; Connecticut; Florida; Indiana; Maryland; New Jersey; Remote - Arizona; Remote - California; Remote - Colorado; Remote - Georgia; Remote - Illinois; Remote - Massachusetts; Remote - Missouri; Remote - New Yo
*This role requires an active Secret or Top Secret clearance* At Databricks, we are passionate about enabling data teams to solve the world's toughest...
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like A...
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In this role, you’ll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high q...
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Posted 2 months ago
Character.AI
Redwood City, CA
As a Software / ML Engineer you will work cross functionally with product, data science and data platform to identify, design and implement the applie...
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We are looking for a talented and motivated Backend Engineer to join our team. You will be responsible for building and maintaining scalable, high-per...
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Location 📍: Sydney, AU, Hybrid (3 days in office required) At Relevance AI, we’re building the home of the AI workforce. Our mission is simple: empow...
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developer...
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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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