Aws Ai/Ml Personalize Architect

Job Description:

• Develop and deploy machine learning models in the AWS cloud environment, utilizing AWS Machine Learning services.
• Maintain and optimize existing machine learning models to improve performance and accuracy.
• Monitor and analyze model performance, making data-driven recommendations for improvement.
• Collaborate with data scientists, engineers, and stakeholders to ensure effective deployment and integration of machine learning models.
• Manage AWS resources and services to ensure scalability, reliability, and availability of machine learning applications.
• Troubleshoot and debug machine learning applications, providing technical support to resolve issues.
• Implement best practices in machine learning development, ensuring adherence to security and privacy requirements.
• Stay up-to-date with the latest trends and advancements in machine learning, identifying opportunities for innovation and improvement.

Your impact:

• Developed and deployed machine learning models that deliver effective and reliable results.
• Optimized machine learning models for maximum performance and accuracy.
• Monitored and analyzed model performance to drive continuous improvement.
• Efficiently managed AWS resources for scalability and availability of machine learning applications.
• Resolved technical issues and provided timely support for machine learning applications.

Essential skills and qualifications:

• 5+ years of experience in machine learning development, focusing on the AWS environment.
• Strong expertise in AWS Machine Learning services, such as Amazon SageMaker, Amazon Personlise.
• In-depth understanding of machine learning algorithms, frameworks, and models.
• Proficiency in programming languages such as Python, Java, or R.
• Excellent problem-solving, critical thinking, and communication skills.