MLops Engineer

6 - 8 years

15 - 25 Lacs

Posted:6 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

  • Hands On experience with AWS Sagemaker (Training, Deployment and Monitoring)
  • Good scripting skills in Python & Sagemaker Python SDK and solid understanding of Linux Environment
  • Good understanding of ML concepts and Model Lifecycle
  • Experienced in Docker to build and manage containerized Sagemaker Models
  • Hands-On Experience on Terraform with Sage maker along with other AWS Services including writing and maintaining complex modules and state management.
  • Hands-On Experience on building GitLab CI/CD pipeline and integration with DevSecOps tools such as Snitch, SonarQube, Veracode
  • Strong Knowledge on AWS specifically with services like AWS Sagemaker, EC2, ECS, EKS, ECR, Lambda, VPC and IAM
  • Ability to setup monitoring with services like AWS CloudWatch to track model and Infra performance.
  • Team player with strong oral and interpersonal skills
  • Strong trouble-shooting and problem-solving skills with a logical and pragmatic attitude

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