Senior MLOps Engineer

Key Responsibilities

• Build and manage end-to-end ML pipelines.
  
• Deploy ML models using CI/CD pipelines.
  
• Develop scalable MLOps infrastructure on AWS, Azure, or GCP.
  
• Automate model training, testing, versioning, and deployment.
  
• Monitor model performance, drift, and data quality.
  
• Collaborate with Data Science and Engineering teams.
  
• Manage Docker and Kubernetes-based deployments.
  
• Optimize and troubleshoot pro...