Key Responsibilities
- Design and maintain scalable ML infrastructure and pipelines
- Develop and optimize CI/CD workflows for ML models
- Implement MLOps best practices for model deployment and monitoring
- Manage cloud resources and cost optimization for ML workloads
- Collaborate with data scientists to streamline model development
- Ensure security and compliance in ML infrastructure
Requirements
- 3+ years in infrastructure engineering or DevOps for ML
- Proficiency in Kubernetes, Docker, and cloud platforms
- Experience with Terraform and infrastructure-as-code
- Knowledge of MLOps tools and CI/CD pipelines
- Strong troubleshooting and automation skills