ML Ops -AWS Engineer - ML-Planner

• Design, develop, and deploy scalable machine learning models using AWS services such as SageMaker and Comprehend.
• Collaborate with cross-functional teams to identify business problems and develop solutions using machine learning algorithms.
• Develop and maintain large-scale data pipelines using AWS Glue and Redshift.
• Implement automated testing and deployment scripts using Python and AWS Lambda.
• Work closely with data engineers to ensure seamless integration of machine learning models into existing data systems.
• Continuously monitor model performance and retrain as necessary.

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