← Back to opportunities
About the Role
Leverage machine learning expertise as an AWS ML Engineer with Tata Consultancy Services in Canada. Focus on designing, building, and deploying ML models and pipelines on AWS.
Tata Consultancy Services is seeking an AWS ML Engineer to develop end-to-end ML workflows using tools like SageMaker and Glue. This role emphasizes collaboration within Agile teams, integrating ML models with applications, and ensuring optimal performance on AWS infrastructure. You will contribute significantly to the data-driven decision-making process in diverse environments.
Key Responsibilities:
• Design and implement ML models on AWS platforms
• Develop workflows with SageMaker, Glue, and S3
• Build data preprocessing and monitoring pipelines
• Integrate ML solutions using APIs and cloud services
• Optimize ML models for cost and scalability
Requirements:
• Experience in deploying ML models on AWS
• Proficient with SageMaker, G...
Tata Consultancy Services is seeking an AWS ML Engineer to develop end-to-end ML workflows using tools like SageMaker and Glue. This role emphasizes collaboration within Agile teams, integrating ML models with applications, and ensuring optimal performance on AWS infrastructure. You will contribute significantly to the data-driven decision-making process in diverse environments.
Key Responsibilities:
• Design and implement ML models on AWS platforms
• Develop workflows with SageMaker, Glue, and S3
• Build data preprocessing and monitoring pipelines
• Integrate ML solutions using APIs and cloud services
• Optimize ML models for cost and scalability
Requirements:
• Experience in deploying ML models on AWS
• Proficient with SageMaker, G...
Ready to Join Through a Referral?
Apply now and get connected directly with the hiring team
Apply for this Position