Description
• Deploy machine learning models and data pipelines into production environments • Develop and maintain backend services for data and ML workflows • Optimize and manage databases for AI/ML applications • Deploy applications on AWS cloud using multiple AWS services • Automate model training, testing, and deployment using CI/CD pipelines • Define and implement metrics to evaluate ML model performance and accuracy • Ensure scalability, reliability, and efficiency of ML systems in production • Coll…
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