• Design, develop, and train machine learning and deep learning models
• Experiment with different architectures and configurations to optimize model performance
• Integrate AI models into existing systems and applications
• Deploy models into production environments and ensure their proper functioning
• Optimize models for performance, scalability, and cost-effectiveness
• Work closely with data engineers, business intelligence, software engineers, product managers and management
• Communicate technical concepts and results to non-technical stakeholders
• Collaborate to define project requirements and deliverables
• Monitor the performance of the models in production and continuously improve models based on feedback and new data
• Document the development process, models, and algorithms
• Prepare reports and presentations on project progress and outcomes
  
  

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