Step into the role of an Expert MLOps Engineer and help transform cloud-native infrastructures for machine learning. Your focus will be on implementing and managing scalable systems that enhance production capabilities and drive efficiency.
Ideal for candidates with over five years in MLOps, this position emphasizes creating robust cloud environments. You'll manage critical ML infrastructures, facilitate model deployments, and maintain high availability across systems while collaborating closely with cross-functional teams.
Key Responsibilities:
• Design and manage scalable ML production systems
• Implement continuous training and model deployment pipelines
• Establish model versioning and tracking standards
• Monitor production systems for rapid issue resolution
• Provide off-hours support as required
Requirements:
• 5+ years in MLOps within cloud-native environments
• Proficiency in cloud services like Azure and AWS
• Experience with Kubernetes and Do...