MLOps Engineer

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
No Travel Required
Remote
$80 - $100/hr
Fitment

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Job Details

Skills

  • Continuous Integration
  • Machine Learning Operations (ML Ops)
  • High Availability
  • Jenkins
  • GitHub
  • Good Clinical Practice
  • Google Cloud Platform
  • Amazon Web Services
  • Continuous Delivery
  • DevOps
  • Machine Learning (ML)
  • Management
  • Microsoft Azure

Summary

MLOps Engineer

Location: Remote – USA
Employment Type: Fulltime
Salary: $145,000 – $200,000 per year

Job Summary

We are looking for a skilled MLOps Engineer to manage the lifecycle of machine learning models from development to production. The candidate will design scalable infrastructure for model deployment, monitoring, and automation.

Responsibilities

  • Build and manage ML deployment pipelines

  • Implement CI/CD pipelines for machine learning workflows

  • Monitor model performance and manage model retraining

  • Develop automation tools for model lifecycle management

  • Collaborate with data scientists and DevOps teams

  • Maintain high availability and performance of ML systems

Required Skills

  • Python and ML frameworks

  • Docker and Kubernetes

  • CI/CD tools (Jenkins, GitHub Actions)

  • MLflow or Kubeflow

  • Cloud services (AWS / Azure / Google Cloud Platform)

Preferred Skills

  • Feature store implementation

  • Model monitoring tools

  • Data versioning tools

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91172806
  • Position Id: 8914452
  • Posted 3 hours ago
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