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Machine Learning Operations Engineer

  • Location: Burlington, North Carolina
  • Remote: Remote
  • Type: Contract
  • Job #3982

Carex, in collaboration with our partner, is seeking a skilled and experienced Machine Learning Operations Engineer. In this role, you'll be entrusted with key responsibilities that contribute to our AI applications' effective operation and performance.

What you’ll do:

  • Candidate will be handling application status
  • Analysis of data check 
  • Creating dashboards
  • Connecting Data Sources
  • Identifying drift in model
  • Creating alerts
  • Error handling &  Error monitoring
  • Creating tools around deployment

What you’ll bring:

  • 5+ years of experience working as a professional software developer
  • Experience deploying AI solutions/applications in the cloud
  • Experience choosing and writing machine-learning models for deployment at scale.
  • Strong scripting experience using Python, Shell, SQL experience.
  • Experience with CI/CD and DevOps automation such as Jenkins
  • Experience with AWS services such as Sagemaker, Lambda, SQS, SNS, Athena, Glue, and ECR
  • Experience with DevOps automation such as Terraform
  • Prior experience on AI, Machine Learning/Deep Learning
  • Experience with monitoring tools such as AWS CloudWatch, Datadog or Splunk
  • Desire to work in a collaborative environment focusing on continuous learning; code review, and pair programming

Good to have experience (as a DevOps)- 

  • Cloud/DevOps/MLOps engineer with an interest in AI
  • Working experience with AWS services with IAM policy and role management
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