MLOps Engineer

3 - 8 years

12 - 22 Lacs

Posted:1 day ago| Platform: Naukri logo

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Skills Required

mlops jenkins performance optimization ml lifecycle management mlops pipeline development ci/cd security & compliance automation scripting model deployment & monitoring troubleshooting version control & governance docker & kubernetes

Work Mode

Work from Office

Job Type

Full Time

Job Description

MLOpsRole

Responsibilities

  • 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models
  • 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes
  • 3. Automate the training, testing and deployment processes for machine learning models
  • 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability
  • 5. Implement best practices for version control, model reproducibility and governance
  • 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness
  • 7. Troubleshoot and resolve issues related to model deployment and performance
  • 8. Ensure compliance with security and data privacy standards in all MLOps activities
  • 9. Keep up to date with the latest MLOps tools, technologies and trends
  • 10. Provide support and guidance to other team members on MLOps practices

Required skills and experience

  • 3-10 years of experience in MLOps , DevOps or a related field
  • Bachelors degree in computer science, Data Science or a related field
  • Strong understanding of machine learning principles and model lifecycle management
  • Experience in Jenkins pipeline development
  • Experience in automation scripting

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