AI Talent Professional

• 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

• Collaborate with data scientists and engineering teams for model integration