Senior MLOps Engineer - job 2 of 4

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