Artificial Intelligence Infrastructure Specialist

3 days ago

kottayam, India beBeeMachineLearning Full time

MLOps EngineerDevelop and maintain robust machine learning pipelines using AWS SageMaker.Key Responsibilities:Create and deploy scalable machine learning models using AWS SageMaker.Build automated workflows for continuous integration and deployment using CodePipeline or GitHub Actions.Implement monitoring and logging solutions using CloudWatch and SageMaker Model Monitor.Design and manage infrastructure using Terraform.Evaluate and optimize machine learning environments for scalability, security, and cost-effectiveness.Collaborate with cross-functional teams to deliver high-quality machine learning products.Troubleshoot complex issues in production machine learning setups.Required Skills and Qualifications:A minimum of 4 years of experience in machine learning engineering.Hands-on expertise with AWS SageMaker in enterprise-scale environments.Strong programming skills, particularly in Python, and familiarity with popular machine learning frameworks.Experience building efficient CI/CD pipelines.In-depth knowledge of the AWS ecosystem and its various services.

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