Lead MLOps Architect – AWS

Tasks

• Architect enterprise MLOps platforms on AWS
• Collaborate with stakeholders on ML platform strategy
• Design CI/CD pipelines for ML workflows
• Ensure high availability, scalability, security, cost optimization
• Establish versioning, reproducibility, experiment tracking standards
• Implement monitoring, drift detection, retraining automation
• Lead ML deployment and governance
• Mentor MLOps and platform engineers
• Troubleshoot complex production issues

Perks/Benefits

• N/A

Skills/Tech-stack

AWS SageMaker | CloudFormation | CloudWatch | Docker | EC2 | ECR | ECS | EKS | GitOps | IAM | Kubernetes | Lambda | MLflow | NoSQL | PyTorch | Python | S3 | SQL | Scikit-learn | Streaming systems | TensorFlow | Terraform