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MLOps Engineer - Remote

Posted 16 weeks ago

Overview

ARFA Solutions, LLC is looking for a skilled DevOps (MLOps) Engineer to help streamline and enhance our machine learning operations. As an MLOps Engineer, you will be responsible for deploying machine learning models into production, automating the workflow, and implementing best practices for continuous integration and continuous delivery (CI/CD) in MLOps. You will work closely with data scientists, developers, and IT operations teams to ensure smooth and efficient operations.

In Short

  • Design, implement, and manage MLOps pipelines for deploying and monitoring machine learning models.
  • Collaborate with data scientists to understand model requirements and operationalize models into production environments.
  • Automate model training, testing, and deployment processes through CI/CD principles.
  • Monitor and evaluate model performance in production and implement solutions for improvement.
  • Implement data versioning, model versioning, and tracking systems to ensure reproducibility.
  • Ensure security and compliance in the deployment of machine learning models.
  • Document processes and improve collaboration between teams for efficient workflows.
  • Stay up-to-date with industry trends and technologies in MLOps and machine learning.

Requirements

  • Experience in MLOps and machine learning operations.
  • Proficiency in CI/CD tools and automation frameworks.
  • Strong understanding of machine learning models and deployment strategies.
  • Experience with monitoring and performance evaluation of models.
  • Knowledge of data and model versioning techniques.
  • Ability to work collaboratively with cross-functional teams.
  • Strong documentation and communication skills.
  • Familiarity with security and compliance standards in ML deployment.

Benefits

  • Opportunity to work on cutting-edge machine learning technologies.
  • Flexible working hours and remote work options.
  • Collaborative and innovative work environment.
  • Professional development and training opportunities.
  • Competitive salary and benefits package.

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