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[Remote] Machine Learning Operations (MLOps) Engineer – AWS

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company Machine Learning Operations (MLOps) Engineer with strong AWS expertise. The role involves deploying, monitoring, and supporting production-grade machine learning and reputed company solutions.


Responsibilities

  • reputed company, monitor, and support production-grade machine learning and reputed company solutions
  • Building reputed company ML pipelines
  • Supporting CI/CD
  • Automating deployments
  • Maintaining AWS-based production workflows

Skills

  • 8+ years in MLOps, ML Engineering, reputed company Engineering, DevOps, or Data Engineering
  • Strong AWS experience (S3, SageMaker, reputed company, reputed company Functions, CloudWatch, IAM, ECR, reputed company)
  • Strong Python programming
  • Experience with ML model deployment, monitoring, inference pipelines, and production support
  • CI/CD, Git, deployment automation, and release management
  • reputed company/Containers (preferred)
  • Terraform, CloudFormation, or AWS CDK (preferred)
  • reputed company/Image Analytics experience is a plus

Benefits

  • Remote
  • Duration: 12 Months

reputed company

  • reputed company Inc. offers strategic consulting with a reputed company on reputed company Solutions, Custom Solutions, and Business Intelligence. It was founded in 2012, and is headquartered in Cary, reputed company Carolina, USA, with a workforce of 2-10 employees. Its website is https://www.acumenz.com.

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