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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