MLOps Engineer

What you will do

• Design and operate scalable inference and serving systems for ML workloads.
• Design and maintain automated data, training, and inference pipelines.
• Build and manage CI/CD pipelines for application testing, validation, and deployment
• Monitor and maintain deployed APIs to ensure performance, reliability, and security.
• Create and manage internal platforms to configure and manage ML systems in production.
• Develop observability dashboards and alerting systems for model and infrastructure health.
• Implement unit and integration tests for ML code, pipelines, and deployment workflows.