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