MLOps Engineer — AWS SageMaker

Role Overview

We are seeking a SageMaker MLOps Developer to design and implement machine learning operations workflows on AWS SageMaker . This role focuses on automating ML pipelines, managing model lifecycle, and ensuring scalable, secure deployments in production environments.

Key Responsibilities

• Develop MLOps Pipelines
• Build and automate ML workflows using AWS SageMaker , SageMaker Pipelines , and Step Functions for training, deployment, and monitoring.
• Model Lifecycle Management
• Manage models through development, staging, and production using SageMaker Model Registry .
• CI / CD Integration
• Implement CI / CD pipelines for ML projects using AWS CodePipeline , CodeBuild , and Git-based workflows.
• Data Preparation & Feature Engineering
• Collaborate with data engineers and scientists to prepare datasets and optimize feature pipelines on AWS.
• Monitoring & Governance
• Set up monitoring for model performance, data drift, and compliance using Amazon CloudWatch , SageMaker Model Monitor , and AWS Config .
• Security & Compliance
• Ensure proper IAM roles, encryption, and governance for ML workflows.

Required Skills & Qualifications

Preferred Qualifications

Soft Skills