MLOps Engineer

Responsibilities:

• Build and manage ML pipelines, deploy and monitor models, automate retraining/drift detection, and productionize ML workloads on AWS.

Requirements:

• Core Skills: Python, AWS SageMaker, MLflow, AWS ECS/Fargate, Step Functions, Docker, ECR, CI/CD, EventBridge, AWS CDK/CloudFormation.
• Good to Have: Kubernetes/EKS, Terraform, GitOps/DevSecOps, GenAI/LLM deployment.