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Design, develop, and deploy AI/ML models and data science solutions on AWS
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Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR
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Perform advanced data analysis, feature engineering, model training, and optimization using Python
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Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift
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Implement MLOps practices for model deployment, monitoring, retraining, and version control
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Translate complex business problems into AI/ML-driven solutions