Senior MLOps Engineer at Crunchyroll
Job Description
š Description
- Design, build, and maintain ML infra and pipelines for training and deployment.
- Develop and manage ML CI/CD pipelines for fast, reliable delivery.
- Implement model registry and experiment tracking with MLflow and SageMaker.
- Establish monitoring, observability, and alerting for real-time drift detection.
- Partner with data scientists to productionize models and production pipelines.
- Leverage AWS SageMaker, Databricks, Kinesis, Lambda, Kubernetes (EKS), and Docker for ML ops.
šÆ Requirements
- Bachelorās or Masterās in CS, DS, Statistics, or related field.
- 8+ years in MLOps, ML infra, or AI/ML DevOps.
- MLflow, SageMaker, Databricks ML for tracking, registry.
- Airflow or Step Functions for workflow orchestration.
- Docker and Kubernetes (EKS) experience for ML services.
- Python proficiency and scripting for ML integrations.
- Strong AWS knowledge (SageMaker, Lambda, S3, Kinesis).
š Benefits
- Best-in-class medical, dental, and vision insurance
- Free premium Crunchyroll access
- Paid parental leave (up to 26 weeks birthing, 12 weeks non-birthing)
- Hybrid work schedule
- Paid time off and flexible time off
- 5 Yasumi days
