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Senior MLOps Engineer

7/11/2025

No location specified

Job Summary

A company is looking for a Senior MLOps Engineer to manage and optimize machine learning operations.

Key Responsibilities
  • Deploy scalable ML services with optimized infrastructure and manage Kubernetes clusters
  • Integrate advanced ML techniques and manage large language models for efficient deployment
  • Set up monitoring solutions and maintain CI/CD pipelines for seamless deployment processes
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Proficiency in Kubernetes, Helm, and containerization technologies
  • Experience with GPU optimization and cloud platforms (AWS, GCP, Azure)
  • Strong knowledge of monitoring tools and scripting languages
  • Hands-on experience with CI/CD tools and workflow management systems

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