Vacancy Description
Join Tata Consultancy Services as an AWS Engineer focused on machine learning solutions. Utilize AWS infrastructure to design and deploy effective ML models and workflows.
This role at Tata Consultancy Services emphasizes the development of comprehensive ML workflows using SageMaker and Glue. As an AWS Engineer, you will collaborate with data scientists and DevOps teams to create scalable and cost-effective ML deployments. Your work will enhance the integration of ML models into applications, optimizing their performance and efficiency in cloud environments.
Key Responsibilities:
• Build and deploy ML models on AWS infrastructure
• Develop end-to-end ML workflows
• Create data preprocessing and training pipelines
• Integrate ML solutions with APIs and services
• Monitor model performance and scalability on AWS
Requirements:
• Expertise in AWS services for ML deployment
• Experience with SageMaker, Glue, and Lambda
• Strong understanding of data integrat...
This role at Tata Consultancy Services emphasizes the development of comprehensive ML workflows using SageMaker and Glue. As an AWS Engineer, you will collaborate with data scientists and DevOps teams to create scalable and cost-effective ML deployments. Your work will enhance the integration of ML models into applications, optimizing their performance and efficiency in cloud environments.
Key Responsibilities:
• Build and deploy ML models on AWS infrastructure
• Develop end-to-end ML workflows
• Create data preprocessing and training pipelines
• Integrate ML solutions with APIs and services
• Monitor model performance and scalability on AWS
Requirements:
• Expertise in AWS services for ML deployment
• Experience with SageMaker, Glue, and Lambda
• Strong understanding of data integrat...
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