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Recruiting Software
Amazon API Gateway, Amazon ECR, AWS IAM, AWS Lambda, Amazon CloudWatch, Amazon SageMaker, Docker
Centralized ML management to streamline operations, cut costs, and provide real-time insights.
The organization was founded in 2014 by recruitment and staffing industry veterans. The company has rapidly grown over the past few years, building a highly successful business characterized by intelligence-driven technology, automation, and analytics. We help companies manage their human capital better through several services, including hiring, recruitment, onboarding, talent management, and employee engagement.
Simplification in Management
Reduction in Infrastructure Costs
Success Rate with Real-Time Insights
The customer is facing challenges in deploying a custom-trained model on the AWS environment to minimize latency and operational costs. They need a solution that ensures high performance and efficient resource utilization, balancing cost-effectiveness with the need for rapid model inference. Additionally, optimizing the deployment to handle varying workloads and maintaining scalability without compromising on speed and accuracy is a critical requirement.
• Packaged the custom-trained ML model into a Docker image with all necessary dependencies.
• Uploaded the Docker image to Amazon ECR for secure and scalable storage.
• Used Amazon SageMaker to pull the image and create a real-time model endpoint.
• Configured Amazon API Gateway to manage and route client requests, including validation and throttling.
• Developed an AWS Lambda function to handle requests, interact with SageMaker, and return responses to clients.
• Ensured predictions from SageMaker were formatted correctly and returned through Amazon API Gateway.
• Implemented Amazon CloudWatch for monitoring, logging, and performance analysis.
• Set up AWS IAM roles and policies to control access to AWS resources securely.
Centralizing the ML model on Amazon SageMaker improved management efficiency by 40%, cut costs by 60%, and delivered scalable, real-time solutions with a 90% success rate.
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Ondemand Webinar
AWS
May 2024
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