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This is a full-time remote role for an AWS Sagemaker. As an AWS Sagemaker, you will be responsible for developing and deploying machine learning models using Amazon Sagemaker. You will work closely with data scientists, software engineers, and other stakeholders to design, build, and optimize machine learning solutions. This role requires a deep understanding of machine learning algorithms, data preprocessing, feature engineering, model training, and model deployment. You will also be responsible for monitoring and maintaining the performance of deployed models.

• Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
• Experience with Amazon Sagemaker and other AWS services
• Knowledge of machine learning concepts and algorithms such as regression, classification, clustering, and deep learning
• Experience with data preprocessing, feature selection, and feature engineering
• Experience with model evaluation and performance metrics
• Proficiency in data visualization and interpretation
• Strong problem-solving and analytical skills
• Good communication and collaboration skills
• Bachelor's degree or higher in Computer Science, Data Science, or a related field