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About the Role
Drive innovation in ML systems as a Senior MLOps Engineer. Spearhead the management and optimization of cloud-native platforms in a dynamic, hybrid workspace while ensuring operational excellence.
This role requires over five years of MLOps experience, focusing on scalable production systems in cloud environments. You will work closely with development and infrastructure teams to build and maintain high-availability solutions, implement automation pipelines, and establish best practices for model management and deployment.
Key Responsibilities:
• Lead the development of ML production systems
• Implement model versioning and experiment tracking
• Troubleshoot and resolve high-scale production issues
• Support continuous training for automated deployment
• Collaborate with teams for continuous improvement
Requirements:
• 5+ years of MLOps experience in cloud environments
• Expertise in Azure ML and AWS services
• Strong hands-on experience with container ...
This role requires over five years of MLOps experience, focusing on scalable production systems in cloud environments. You will work closely with development and infrastructure teams to build and maintain high-availability solutions, implement automation pipelines, and establish best practices for model management and deployment.
Key Responsibilities:
• Lead the development of ML production systems
• Implement model versioning and experiment tracking
• Troubleshoot and resolve high-scale production issues
• Support continuous training for automated deployment
• Collaborate with teams for continuous improvement
Requirements:
• 5+ years of MLOps experience in cloud environments
• Expertise in Azure ML and AWS services
• Strong hands-on experience with container ...
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