Role overview
We are looking for a skilled and hands-on Senior MLOps Engineer with strong AWS expertise to support the deployment, automation, and monitoring of machine learning models in production. The ideal candidate will collaborate closely with Data Science and Engineering teams to operationalize ML models using cloud-native best practices.
What you'll work on
- 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
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Machine Learning Data Science Mlops Ai