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About the role
Key Responsibilities Design, implement, and manage CI/CD pipelines for AI/ML solutions Deploy and maintain infrastructure to support AI models and data pipelines Support scaling of AI solutions across PCRB, E&I; UNET, USP, and Disputes Collaborate with Data/AI, Engineering, and Product teams to enable smooth deployments Ensure system reliability, performance monitoring, and incident management Automate infrastructure provisioning using Infrastructure as Code (IaC) practices Implement security, compliance, and governance standards in DevOps processes Required Skills Strong experience in DevOps engineering and CI/CD pipeline development Proficiency in cloud platforms (Azure/AWS) and containerization (Docker/Kubernetes) Experience in supporting AI/ML model deployment and productionization Familiarity with automation tools and scripting (Python, Bash) Knowledge of monitoring, logging, and performance tuning tools Robust problem-solving and cross-team communication skills Key Responsibilities Design, implement, and manage CI/CD pipelines for AI/ML solutions Deploy and maintain infrastructure to support AI models and data pipelines Support scaling of AI solutions across PCRB, E&I; UNET, USP, and Disputes Collaborate with Data/AI, Engineering, and Product teams to enable smooth deployments Ensure system reliability, performance monitoring, and incident management Automate infrastructure provisioning using Infrastructure as Code (IaC) practices Implement security, compliance, and governance standards in DevOps processes Required Skills Strong experience in DevOps engineering and CI/CD pipeline development Proficiency in cloud platforms (Azure/AWS) and containerization (Docker/Kubernetes) Experience in supporting AI/ML model deployment and productionization Familiarity with automation tools and scripting (Python, Bash) Knowledge of monitoring, logging, and performance tuning tools Robust problem-solving and cross-team communication skills
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