Senior MLOps Engineer – AWS

We are looking for a skilled Senior MLOps Engineer with strong AWS expertise to support the deployment, automation, and monitoring of machine learning models in production.

Requirements

• Design and implement end-to-end MLOps pipelines from data ingestion to model deployment
• Deploy and manage ML models using AWS-native services such as SageMaker
• Build and maintain CI/CD pipelines for ML workflows
• Implement model monitoring, performance tracking, and basic drift detection
• Containerize ML workloads using Docker and deploy on EKS/ECS
• Support infrastructure automation using Terraform or CloudFormation
• Ensure scalability, availability, and security of ML systems
• Collaborate with cross-functional teams to productionize ML solutions
• Troubleshoot ML pipelines and cloud infrastructure issues

Benefits

• Competitive salary
• Health insurance
• Retirement plan
• Paid time off