DevOps Engineer

 Infrastructure Management: Build scalable and robust infrastructure for Machine Learning models, ensuring seamless production integration.
- CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment.
- Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production.
- Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production.
- Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems.