MLOPs Engineer

Roles and Responsibilities :

• Design, develop, deploy, and maintain machine learning models using AWS SageMaker.
• Collaborate with cross-functional teams to integrate ML solutions into existing systems.
• Develop data pipelines using Microsoft Flow to automate data processing and model training.
• Troubleshoot issues related to ML model deployment and performance optimization.

Job Requirements :

• 5.5-13 years of experience in Machine Learning Engineering or a related field.
• Strong proficiency in AWS SageMaker, including data preparation, feature engineering, and model deployment.
• Experience with ML pipelines development using tools like Azure DevOps or GitHub Actions.