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AI Reliability Engineer at RBC BorealisRBC • Toronto, Canada
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AI Reliability Engineer at RBC Borealis

AI Reliability Engineer at RBC Borealis

RBC • Toronto, Canada
Il y a 10 jours
Type de contrat
  • Temps plein
Description de poste
Join RBC Borealis as an AI Reliability Engineer and shape the future of AI service infrastructure. Utilize your skills in system reliability and automation to enhance operational excellence.

As a Senior Site Reliability Engineer, you will focus on building reliable infrastructure for AI and machine learning applications. This position involves collaboration with a diverse team and access to vast datasets for impactful AI operations. Candidates should possess strong experience in managing AI system reliability and continuous integration workflows.

Key Responsibilities: • Build and optimize scalable AI service infrastructure • Set standards for observability and incident management • Collaborate on continuous deployment processes • Guide AI applications with infrastructure analysis • Develop resilient environments in cloud and hybrid settings

Requirements: • Extensive experience with reliability infrastructure • Proven capabilities in CI/CD tools • Hands-on work with containers and orchestration • Knowledge of monitoring solutions like Datadog • Experience with NoSQL databases like MongoDB

Contribute to cutting-edge AI advancements at RBC Borealis with your engineering expertise. #J-18808-Ljbffr
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AI Reliability Engineer at RBC Borealis • Toronto, Canada

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