AI/ML Cloud Engineering Consultant

Washington, D.C. / Atlanta, GA / Charlotte, NC / New York, NY / Richmond, VA
Cloud/DevOps Practice – Cloud/DevOps /
USA_Full Time USA (4 weeks off) /
Hybrid

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Location (All Offices)

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  • Are you able to have occasional on-site or client office presence?
  • Are you willing to work a hybrid schedule?
  • Are you willing to travel?

AI/ML Consulting (Mid - Senior)

  • Do you have 3+ years of professional experience in cloud engineering, AI/ML engineering, or MLOps, with a track record of delivering solutions in AWS environments?
  • Do you have expertise deploying and managing Kubernetes clusters (both EKS and unmanaged)?
  • Do you have experience with MLFlow or equivalent ML lifecycle management tools?
  • Do you have experience developing, maintaining, troubleshooting, and debugging DevOps pipelines to support ML workflows?
  • Do you have experience with scripting (e.g., Python, Bash) and automation frameworks?
  • Do you have prior consulting experience advising enterprise clients on AI/ML strategies and cloud-native architectures?

U.S. Equal Employment Opportunity information   (Completion is voluntary and will not subject you to adverse treatment)

Our company values diversity. To ensure that we comply with reporting requirements and to learn more about how we can increase diversity in our candidate pool, we invite you to voluntarily provide demographic information in a confidential survey at the end of this application. Providing this information is optional. It will not be accessible or used in the hiring process, and has no effect on your opportunity for employment.